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2020 – today
- 2025
[j30]Souymodip Chakraborty
, Vineet Batra, Ankit Phogat, Vishwas Jain, Jaswant Singh Ranawat, Sumit Dhingra, Kevin Wampler, Matthew Fisher, Michal Lukác:
Image Vectorization via Gradient Reconstruction. Comput. Graph. Forum 44(2) (2025)- [j29]Zeqi Gu, Difan Liu, Timothy Langlois, Matthew Fisher, Abe Davis:
How to Train Your Dragon: Automatic Diffusion-Based Rigging for Characters with Diverse Topologies. Comput. Graph. Forum 44(2) (2025) - [j28]Chenxi Liu, Siqi Wang, Matthew Fisher, Deepali Aneja, Alec Jacobson:
2D Neural Fields with Learned Discontinuities. Comput. Graph. Forum 44(2) (2025) - [c56]Vivian Liu, Rubaiat Habib Kazi, Li-Yi Wei, Matthew Fisher, Timothy Langlois, Seth Walker, Lydia B. Chilton:
LogoMotion: Visually-Grounded Code Synthesis for Creating and Editing Animation. CHI 2025: 157:1-157:16 - [c55]Nissim Maruani, Wang Yifan, Matthew Fisher, Pierre Alliez, Mathieu Desbrun:
ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion. CVPR 2025: 605-617 - [c54]Aditya Ganeshan, Thibault Groueix, Paul Guerrero, Radomír Mech, Matthew Fisher, Daniel Ritchie:
Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy. CVPR 2025: 28715-28725 - [i52]Nissim Maruani, Wang Yifan, Matthew Fisher, Pierre Alliez, Mathieu Desbrun:
ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion. CoRR abs/2502.02187 (2025) - [i51]Vikas Thamizharasan, Nikitas Chatzis, Iliyan Georgiev, Matthew Fisher, Difan Liu, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác:
Mean-Shift Distillation for Diffusion Mode Seeking. CoRR abs/2502.15989 (2025) - [i50]Zeqi Gu, Difan Liu, Timothy Langlois, Matthew Fisher, Abe Davis:
How to Train Your Dragon: Automatic Diffusion-Based Rigging for Characters with Diverse Topologies. CoRR abs/2503.15586 (2025) - 2024
- [j27]Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang:
Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes. Comput. Graph. Forum 43(1) (2024) - [j26]Vivien Nguyen, Matthew Fisher, Aaron Hertzmann, Szymon Rusinkiewicz:
Region-Aware Simplification and Stylization of 3D Line Drawings. Comput. Graph. Forum 43(2): i-iii (2024) - [j25]Chuan Yan, Yong Li, Deepali Aneja, Matthew Fisher, Edgar Simo-Serra, Yotam I. Gingold:
Deep Sketch Vectorization via Implicit Surface Extraction. ACM Trans. Graph. 43(4): 37:1-37:13 (2024) - [j24]Arman Maesumi, Dylan Hu, Krishi Saripalli, Vladimir G. Kim, Matthew Fisher, Sören Pirk, Daniel Ritchie:
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns. ACM Trans. Graph. 43(4): 114:1-114:21 (2024) - [c53]James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Learning Subject-Aware Cropping by Outpainting Professional Photos. AAAI 2024: 2175-2183 - [c52]Holly Huey, Mackenzie Leake, Deepali Aneja, Matthew Fisher, Judith E. Fan:
How do video content creation goals impact which concepts people prioritize for generating B-roll imagery? Creativity & Cognition 2024: 542-549 - [c51]Vikas Thamizharasan, Difan Liu, Matthew Fisher, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác:
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation. CVPR 2024: 4589-4597 - [c50]Ta Ying Cheng, Matheus Gadelha, Thibault Groueix, Matthew Fisher, Radomír Mech, Andrew Markham, Niki Trigoni:
Learning Continuous 3D Words for Text-to-Image Generation. CVPR 2024: 6753-6762 - [c49]Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michaël Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis:
VecFusion: Vector Font Generation with Diffusion. CVPR 2024: 7943-7952 - [c48]Cusuh Ham, Matthew Fisher, James Hays, Nicholas I. Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz:
Personalized Residuals for Concept-Driven Text-to-Image Generation. CVPR 2024: 8186-8195 - [c47]Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra:
Temporal Residual Jacobians for Rig-Free Motion Transfer. ECCV (58) 2024: 93-109 - [i49]Ta Ying Cheng, Matheus Gadelha, Thibault Groueix, Matthew Fisher, Radomír Mech, Andrew Markham, Niki Trigoni:
Learning Continuous 3D Words for Text-to-Image Generation. CoRR abs/2402.08654 (2024) - [i48]Arman Maesumi, Dylan Hu, Krishi Saripalli, Vladimir G. Kim, Matthew Fisher, Sören Pirk, Daniel Ritchie:
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns. CoRR abs/2404.16292 (2024) - [i47]Vivian Liu, Rubaiat Habib Kazi, Li-Yi Wei, Matthew Fisher, Timothy Langlois, Seth Walker, Lydia B. Chilton:
LogoMotion: Visually Grounded Code Generation for Content-Aware Animation. CoRR abs/2405.07065 (2024) - [i46]Cusuh Ham, Matthew Fisher, James Hays, Nicholas I. Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz:
Personalized Residuals for Concept-Driven Text-to-Image Generation. CoRR abs/2405.12978 (2024) - [i45]Vikas Thamizharasan, Difan Liu, Matthew Fisher, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác:
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation. CoRR abs/2405.15217 (2024) - [i44]Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra:
Temporal Residual Jacobians For Rig-free Motion Transfer. CoRR abs/2407.14958 (2024) - [i43]Chenxi Liu, Siqi Wang, Matthew Fisher, Deepali Aneja, Alec Jacobson:
2D Neural Fields with Learned Discontinuities. CoRR abs/2408.00771 (2024) - [i42]Aditya Ganeshan, Thibault Groueix, Paul Guerrero, Radomír Mech, Matthew Fisher, Daniel Ritchie:
Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy. CoRR abs/2412.12463 (2024) - [i41]Sanghyun Son, Matheus Gadelha, Yang Zhou, Matthew Fisher, Zexiang Xu, Yi-Ling Qiao, Ming C. Lin, Yi Zhou:
DMesh++: An Efficient Differentiable Mesh for Complex Shapes. CoRR abs/2412.16776 (2024) - 2023
- [j23]Yash Belhe, Michaël Gharbi, Matthew Fisher, Iliyan Georgiev, Ravi Ramamoorthi, Tzu-Mao Li:
Discontinuity-Aware 2D Neural Fields. ACM Trans. Graph. 42(6): 217:1-217:11 (2023) - [c46]Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie:
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly. CVPR 2023: 8559-8567 - [c45]Titas Anciukevicius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero:
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation. CVPR 2023: 12608-12618 - [c44]Ying-Tian Liu, Zhifei Zhang, Yuan-Chen Guo, Matthew Fisher, Zhaowen Wang, Song-Hai Zhang:
DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation. CVPR 2023: 14193-14202 - [c43]Matthew Fisher, Chris J. Oates:
Gradient-Free Kernel Stein Discrepancy. NeurIPS 2023 - [c42]Arman Maesumi, Paul Guerrero, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie:
Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models. SIGGRAPH Asia 2023: 68:1-68:11 - [i40]Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie:
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly. CoRR abs/2303.01999 (2023) - [i39]Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang:
Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes. CoRR abs/2304.03188 (2023) - [i38]Ying-Tian Liu, Zhifei Zhang, Yuan-Chen Guo, Matthew Fisher, Zhaowen Wang, Song-Hai Zhang:
DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation. CoRR abs/2305.10462 (2023) - [i37]Arman Maesumi, Paul Guerrero, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Noam Aigerman, Daniel Ritchie:
Explorable Mesh Deformation Subspaces from Unstructured Generative Models. CoRR abs/2310.07814 (2023) - [i36]Manuel Ladron de Guevara, Matthew Fisher, Aaron Hertzmann:
Segmentation-Based Parametric Painting. CoRR abs/2311.14271 (2023) - [i35]Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michaël Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis:
VecFusion: Vector Font Generation with Diffusion. CoRR abs/2312.10540 (2023) - [i34]James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Learning Subject-Aware Cropping by Outpainting Professional Photos. CoRR abs/2312.12080 (2023) - 2022
- [j22]Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis:
ASSET: autoregressive semantic scene editing with transformers at high resolutions. ACM Trans. Graph. 41(4): 74:1-74:12 (2022) - [c41]Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra:
GLASS: Geometric Latent Augmentation for Shape Spaces. CVPR 2022: 470-479 - [c40]Zhan Xu, Matthew Fisher, Yang Zhou, Deepali Aneja, Rushikesh Dudhat, Li Yi, Evangelos Kalogerakis:
APES: Articulated Part Extraction from Sprite Sheets. CVPR 2022: 11625-11634 - [c39]James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Spotting Temporally Precise, Fine-Grained Events in Video. ECCV (35) 2022: 33-51 - [c38]Tom Monnier, Matthew Fisher, Alexei A. Efros, Mathieu Aubry:
Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency. ECCV (1) 2022: 285-303 - [c37]Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter:
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing. WACV 2022: 3183-3192 - [i33]Tom Monnier, Matthew Fisher, Alexei A. Efros, Mathieu Aubry:
Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency. CoRR abs/2204.10310 (2022) - [i32]Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis:
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions. CoRR abs/2205.12231 (2022) - [i31]Zhan Xu, Matthew Fisher, Yang Zhou, Deepali Aneja, Rushikesh Dudhat, Li Yi, Evangelos Kalogerakis:
APES: Articulated Part Extraction from Sprite Sheets. CoRR abs/2206.02015 (2022) - [i30]James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Spotting Temporally Precise, Fine-Grained Events in Video. CoRR abs/2207.10213 (2022) - [i29]Titas Anciukevicius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero:
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation. CoRR abs/2211.09869 (2022) - 2021
- [j21]Mustafa Isik, Krishna Mullia, Matthew Fisher, Jonathan Eisenmann, Michaël Gharbi:
Interactive Monte Carlo denoising using affinity of neural features. ACM Trans. Graph. 40(4): 37:1-37:13 (2021) - [c36]Matthew Fisher, Tui Nolan, Matthew M. Graham, Dennis Prangle, Chris J. Oates:
Measure Transport with Kernel Stein Discrepancy. AISTATS 2021: 1054-1062 - [c35]Akshay Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang:
LayoutGMN: Neural Graph Matching for Structural Layout Similarity. CVPR 2021: 11048-11057 - [c34]Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri:
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CVPR 2021: 15740-15749 - [c33]Matthew Fisher, Vineet Agarwal, Tarun Beri:
Automatic Hierarchical Arrangement of Vector Designs. Eurographics (Short Papers) 2021: 29-32 - [c32]Rawan Alghofaili, Matthew Fisher, Richard Zhang, Michal Lukác, Lap-Fai Yu:
Exploring Sketch-based Character Design Guided by Automatic Colorization. Graphics Interface 2021: 56-67 - [c31]James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian:
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. ICCV 2021: 9234-9243 - [c30]Difan Liu, Matthew Fisher, Aaron Hertzmann, Evangelos Kalogerakis:
Neural Strokes: Stylized Line Drawing of 3D Shapes. ICCV 2021: 14184-14193 - [c29]Pierre-Alain Langlois, Matthew Fisher, Oliver Wang, Vladimir G. Kim, Alexandre Boulch, Renaud Marlet, Bryan C. Russell:
3D Reconstruction By Parameterized Surface Mapping. ICIP 2021: 3273-3277 - [c28]Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin M. Solomon:
MarioNette: Self-Supervised Sprite Learning. NeurIPS 2021: 5494-5505 - [c27]Pradyumna Reddy, Zhifei Zhang, Zhaowen Wang, Matthew Fisher, Hailin Jin, Niloy J. Mitra:
A Multi-Implicit Neural Representation for Fonts. NeurIPS 2021: 12637-12647 - [c26]Tobias Hinz, Matthew Fisher, Oliver Wang, Stefan Wermter:
Improved Techniques for Training Single-Image GANs. WACV 2021: 1299-1308 - [i28]Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter:
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing. CoRR abs/2102.03141 (2021) - [i27]Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon:
MarioNette: Self-Supervised Sprite Learning. CoRR abs/2104.14553 (2021) - [i26]Pradyumna Reddy, Zhifei Zhang, Matthew Fisher, Hailin Jin, Zhaowen Wang, Niloy J. Mitra:
A Multi-Implicit Neural Representation for Fonts. CoRR abs/2106.06866 (2021) - [i25]Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra:
GLASS: Geometric Latent Augmentation for Shape Spaces. CoRR abs/2108.03225 (2021) - [i24]Ye Yuan, Wuyang Chen, Zhaowen Wang, Matthew Fisher, Zhifei Zhang, Zhangyang Wang, Hailin Jin:
Font Completion and Manipulation by Cycling Between Multi-Modality Representations. CoRR abs/2108.12965 (2021) - [i23]James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian:
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. CoRR abs/2109.01305 (2021) - [i22]Difan Liu, Matthew Fisher, Aaron Hertzmann, Evangelos Kalogerakis:
Neural Strokes: Stylized Line Drawing of 3D Shapes. CoRR abs/2110.03900 (2021) - 2020
- [j20]Pradyumna Reddy, Paul Guerrero, Matthew Fisher, Wilmot Li, Niloy J. Mitra:
Discovering pattern structure using differentiable compositing. ACM Trans. Graph. 39(6): 262:1-262:15 (2020) - [c25]Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao (Richard) Zhang:
COALESCE: Component Assembly by Learning to Synthesize Connections. 3DV 2020: 61-70 - [c24]Matthew Fisher, Chris J. Oates, Catherine E. Powell, Aretha L. Teckentrup:
A Locally Adaptive Bayesian Cubature Method. AISTATS 2020: 1265-1275 - [c23]Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions Using Distance Fields. CVPR 2020: 558-567 - [c22]Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir G. Kim, Ming-Hsuan Yang:
Modeling Artistic Workflows for Image Generation and Editing. ECCV (18) 2020: 158-174 - [c21]Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim:
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling. ECCV (10) 2020: 667-683 - [c20]Ankit Phogat, Vineet Batra, Matthew Fisher:
Concurrent Editing of Vector Graphics using Similarity. SIGGRAPH Posters 2020: 8:1-8:2 - [c19]Evan Shimizu, Matthew Fisher, Sylvain Paris, James McCann, Kayvon Fatahalian:
Design Adjectives: A Framework for Interactive Model-Guided Exploration of Parameterized Design Spaces. UIST 2020: 261-278 - [i21]Tobias Hinz, Matthew Fisher, Oliver Wang, Stefan Wermter:
Improved Techniques for Training Single-Image GANs. CoRR abs/2003.11512 (2020) - [i20]Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir G. Kim, Ming-Hsuan Yang:
Modeling Artistic Workflows for Image Generation and Editing. CoRR abs/2007.07238 (2020) - [i19]Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim:
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling. CoRR abs/2007.10294 (2020) - [i18]Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao Zhang:
COALESCE: Component Assembly by Learning to Synthesize Connections. CoRR abs/2008.01936 (2020) - [i17]Pradyumna Reddy, Paul Guerrero, Matthew Fisher, Wilmot Li, Niloy J. Mitra:
Discovering Pattern Structure Using Differentiable Compositing. CoRR abs/2010.08788 (2020) - [i16]Akshay Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang:
LayoutGMN: Neural Graph Matching for Structural Layout Similarity. CoRR abs/2012.06547 (2020) - [i15]Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri:
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CoRR abs/2012.09159 (2020)
2010 – 2019
- 2019
- [j19]Evan Shimizu, Sylvain Paris, Matthew Fisher, Ersin Yumer, Kayvon Fatahalian:
Exploratory Stage Lighting Design using Visual Objectives. Comput. Graph. Forum 38(2): 417-429 (2019) - [j18]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Unsupervised cycle-consistent deformation for shape matching. Comput. Graph. Forum 38(5): 123-133 (2019) - [c18]Roberto M. Dyke, C. Stride, Yu-Kun Lai, Paul L. Rosin, Mathieu Aubry, Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers, Matthew Fisher, Thibault Groueix, Daoliang Guo, Vladimir G. Kim, Ron Kimmel, Zorah Lähner, Kun Li, Or Litany, Tal Remez, Emanuele Rodolà, Bryan C. Russell, Yusuf Sahillioglu, Ron Slossberg, Gary K. L. Tam, Matthias Vestner, Z. Wu, Jingyu Yang:
Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics 2019: 111-119 - [c17]Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey:
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. CVPR 2019: 969-978 - [c16]Sanjeev Muralikrishnan, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri:
Shape Unicode: A Unified Shape Representation. CVPR 2019: 3790-3799 - [c15]Evan Shimizu, Matthew Fisher, Sylvain Paris, Kayvon Fatahalian:
Finding Layers Using Hover Visualizations. Graphics Interface 2019: 16:1-16:9 - [c14]Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang:
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. ICCV 2019: 8489-8498 - [c13]Wenqi Xian, Zhengqi Li, Noah Snavely, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman:
UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images. ICCV 2019: 9973-9982 - [c12]Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Learning elementary structures for 3D shape generation and matching. NeurIPS 2019: 7433-7443 - [c11]Ankit Phogat, Matthew Fisher, Danny M. Kaufman, Vineet Batra:
Skinning vector graphics with GANs. SIGGRAPH Posters 2019: 70:1-70:2 - [i14]Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey:
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. CoRR abs/1903.08642 (2019) - [i13]Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang:
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. CoRR abs/1903.11228 (2019) - [i12]Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions using Distance Fields. CoRR abs/1904.08921 (2019) - [i11]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Unsupervised cycle-consistent deformation for shape matching. CoRR abs/1907.03165 (2019) - [i10]Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Learning elementary structures for 3D shape generation and matching. CoRR abs/1908.04725 (2019) - [i9]Wenqi Xian, Zhengqi Li, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman, Noah Snavely:
UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images. CoRR abs/1908.07070 (2019) - 2018
- [j17]Rui Ma, Akshay Gadi Patil, Matthew Fisher, Manyi Li, Sören Pirk, Binh-Son Hua, Sai-Kit Yeung, Xin Tong, Leonidas J. Guibas, Hao Zhang:
Language-driven synthesis of 3D scenes from scene databases. ACM Trans. Graph. 37(6): 212 (2018) - [c10]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
A Papier-Mâché Approach to Learning 3D Surface Generation. CVPR 2018: 216-224 - [c9]Yannick Hold-Geoffroy, Kalyan Sunkavalli, Jonathan Eisenmann, Matthew Fisher, Emiliano Gambaretto, Sunil Hadap, Jean-François Lalonde:
A Perceptual Measure for Deep Single Image Camera Calibration. CVPR 2018: 2354-2363 - [c8]Samaneh Azadi, Matthew Fisher, Vladimir G. Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell:
Multi-Content GAN for Few-Shot Font Style Transfer. CVPR 2018: 7564-7573 - [c7]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
3D-CODED: 3D Correspondences by Deep Deformation. ECCV (2) 2018: 235-251 - [i8]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation. CoRR abs/1802.05384 (2018) - [i7]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Shape correspondences from learnt template-based parametrization. CoRR abs/1806.05228 (2018) - 2017
- [j16]Matthew Fisher, Joshua Knobe, Brent Strickland, Frank C. Keil:
The Influence of Social Interaction on Intuitions of Objectivity and Subjectivity. Cogn. Sci. 41(4): 1119-1134 (2017) - [j15]Zachary DeVito, Michael Mara, Michael Zollhöfer, Gilbert Bernstein, Jonathan Ragan-Kelley, Christian Theobalt, Pat Hanrahan, Matthew Fisher, Matthias Nießner:
Opt: A Domain Specific Language for Non-Linear Least Squares Optimization in Graphics and Imaging. ACM Trans. Graph. 36(5): 171:1-171:27 (2017) - [c6]Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao, Thomas A. Funkhouser:
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions. CVPR 2017: 199-208 - [i6]Sharon Lin, Matthew Fisher, Angela Dai, Pat Hanrahan:
LayerBuilder: Layer Decomposition for Interactive Image and Video Color Editing. CoRR abs/1701.03754 (2017) - [i5]Samaneh Azadi, Matthew Fisher, Vladimir G. Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell:
Multi-Content GAN for Few-Shot Font Style Transfer. CoRR abs/1712.00516 (2017) - [i4]Yannick Hold-Geoffroy, Kalyan Sunkavalli, Jonathan Eisenmann, Matthew Fisher, Emiliano Gambaretto, Sunil Hadap, Jean-François Lalonde:
A Perceptual Measure for Deep Single Image Camera Calibration. CoRR abs/1712.01259 (2017) - 2016
- [j14]Matthias Nießner, Benjamin Keinert, Matthew Fisher, Marc Stamminger, Charles T. Loop, Henry Schäfer:
Real-Time Rendering Techniques with Hardware Tessellation. Comput. Graph. Forum 35(1): 113-137 (2016) - [j13]Matthew Fisher, Frank C. Keil:
The Curse of Expertise: When More Knowledge Leads to Miscalibrated Explanatory Insight. Cogn. Sci. 40(5): 1251-1269 (2016) - [j12]Gilbert Louis Bernstein, Chinmayee Shah, Crystal Lemire, Zachary DeVito, Matthew Fisher, Philip Alexander Levis, Pat Hanrahan:
Ebb: A DSL for Physical Simulation on CPUs and GPUs. ACM Trans. Graph. 35(2): 21:1-21:12 (2016) - [j11]Manolis Savva, Angel X. Chang, Pat Hanrahan, Matthew Fisher, Matthias Nießner:
PiGraphs: learning interaction snapshots from observations. ACM Trans. Graph. 35(4): 139:1-139:12 (2016) - [c5]Manolis Savva, Angel X. Chang, Pat Hanrahan, Matthew Fisher, Matthias Nießner:
PiGraphs: learning interaction snapshots from observations. SIGGRAPH ASIA Virtual Reality meets Physical Reality 2016: 5:1-5:2 - [i3]Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao:
3DMatch: Learning the Matching of Local 3D Geometry in Range Scans. CoRR abs/1603.08182 (2016) - [i2]Zachary DeVito, Michael Mara, Michael Zollhöfer, Gilbert Louis Bernstein, Jonathan Ragan-Kelley, Christian Theobalt, Pat Hanrahan, Matthew Fisher, Matthias Nießner:
Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging. CoRR abs/1604.06525 (2016) - 2015
- [j10]Matthew Fisher, Manolis Savva, Yangyan Li, Pat Hanrahan, Matthias Nießner:
Activity-centric scene synthesis for functional 3D scene modeling. ACM Trans. Graph. 34(6): 179:1-179:13 (2015) - [i1]Gilbert Louis Bernstein, Chinmayee Shah, Crystal Lemire, Zachary DeVito, Matthew Fisher, Philip Alexander Levis, Pat Hanrahan:
Ebb: A DSL for Physical Simluation on CPUs and GPUs. CoRR abs/1506.07577 (2015) - 2014
- [j9]Michael Zollhöfer, Matthias Nießner, Shahram Izadi, Christoph Rhemann, Christopher Zach, Matthew Fisher, Chenglei Wu, Andrew W. Fitzgibbon, Charles T. Loop, Christian Theobalt, Marc Stamminger:
Real-time non-rigid reconstruction using an RGB-D camera. ACM Trans. Graph. 33(4): 156:1-156:12 (2014) - [c4]Matthias Nießner, Angela Dai, Matthew Fisher:
Combining Inertial Navigation and ICP for Real-time 3D Surface Reconstruction. Eurographics (Short Papers) 2014: 13-16 - [c3]Zachary DeVito, Daniel Ritchie, Matthew Fisher, Alex Aiken, Pat Hanrahan:
First-class runtime generation of high-performance types using exotypes. PLDI 2014: 77-88 - 2013
- [b1]Matthew Fisher:
Data-driven tools for scene modeling. Stanford University, USA, 2013 - [j8]Yi-Ting Yeh, Katherine Breeden, Lingfeng Yang, Matthew Fisher, Pat Hanrahan:
Synthesis of tiled patterns using factor graphs. ACM Trans. Graph. 32(1): 3:1-3:13 (2013) - [j7]Sharon Lin, Daniel Ritchie, Matthew Fisher, Pat Hanrahan:
Probabilistic color-by-numbers: suggesting pattern colorizations using factor graphs. ACM Trans. Graph. 32(4): 37:1-37:12 (2013) - 2012
- [j6]Matthew Fisher, Daniel Ritchie, Manolis Savva, Thomas A. Funkhouser, Pat Hanrahan:
Example-based synthesis of 3D object arrangements. ACM Trans. Graph. 31(6): 135:1-135:11 (2012) - [p1]Keith Cheverst, Faisal Taher, Matthew Fisher, Daniel Fitton, Nick Taylor:
The Design, Deployment and Evaluation of Situated Display-Based Systems to Support Coordination and Community. Ubiquitous Display Environments 2012: 105-124 - 2011
- [j5]Matthew Fisher, Manolis Savva, Pat Hanrahan:
Characterizing structural relationships in scenes using graph kernels. ACM Trans. Graph. 30(4): 34 (2011) - [c2]Jeffrey Hemmes, Matthew Fisher, Kenneth M. Hopkinson:
Predictive Routing in Mobile Ad-Hoc Networks. NGMAST 2011: 117-122 - 2010
- [j4]Matthew Fisher, Pat Hanrahan:
Context-based search for 3D models. ACM Trans. Graph. 29(6): 182 (2010)
2000 – 2009
- 2009
- [j3]Matthew Fisher, Kayvon Fatahalian, Solomon Boulos, Kurt Akeley, William R. Mark, Pat Hanrahan:
DiagSplit: parallel, crack-free, adaptive tessellation for micropolygon rendering. ACM Trans. Graph. 28(5): 150 (2009) - 2007
- [j2]Matthew Fisher, Boris Springborn, Peter Schröder, Alexander I. Bobenko:
An algorithm for the construction of intrinsic delaunay triangulations with applications to digital geometry processing. Computing 81(2-3): 199-213 (2007) - [j1]Matthew Fisher, Peter Schröder, Mathieu Desbrun, Hugues Hoppe:
Design of tangent vector fields. ACM Trans. Graph. 26(3): 56 (2007) - 2006
- [c1]Matthew Fisher, Boris Springborn, Alexander I. Bobenko, Peter Schröder:
An algorithm for the construction of intrinsic delaunay triangulations with applications to digital geometry processing. SIGGRAPH Courses 2006: 69-74
Coauthor Index
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