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Matthew Fisher
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Books and Theses
- 2013
- [b1]Matthew Fisher:
Data-driven tools for scene modeling. Stanford University, USA, 2013
Journal Articles
- 2024
- [j25]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) - [j24]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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 2011
- [j5]Matthew Fisher, Manolis Savva
, Pat Hanrahan:
Characterizing structural relationships in scenes using graph kernels. ACM Trans. Graph. 30(4): 34 (2011) - 2010
- [j4]Matthew Fisher, Pat Hanrahan:
Context-based search for 3D models. ACM Trans. Graph. 29(6): 182 (2010) - 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)
Conference and Workshop Papers
- 2024
- [c47]James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Learning Subject-Aware Cropping by Outpainting Professional Photos. AAAI 2024: 2175-2183 - [c46]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 - 2023
- [c45]Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie:
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly. CVPR 2023: 8559-8567 - [c44]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 - [c43]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 - [c42]Matthew Fisher, Chris J. Oates:
Gradient-Free Kernel Stein Discrepancy. NeurIPS 2023 - [c41]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 - 2022
- [c40]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 - [c39]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 - [c38]James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Spotting Temporally Precise, Fine-Grained Events in Video. ECCV (35) 2022: 33-51 - [c37]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 - [c36]Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter:
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing. WACV 2022: 3183-3192 - 2021
- [c35]Matthew Fisher, Tui Nolan, Matthew M. Graham, Dennis Prangle, Chris J. Oates:
Measure Transport with Kernel Stein Discrepancy. AISTATS 2021: 1054-1062 - [c34]Akshay Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang:
LayoutGMN: Neural Graph Matching for Structural Layout Similarity. CVPR 2021: 11048-11057 - [c33]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 - [c32]Matthew Fisher, Vineet Agarwal, Tarun Beri:
Automatic Hierarchical Arrangement of Vector Designs. Eurographics (Short Papers) 2021: 29-32 - [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 - 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 - 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 - 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 - 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 - 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 - 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 - 2011
- [c2]Jeffrey Hemmes, Matthew Fisher, Kenneth M. Hopkinson:
Predictive Routing in Mobile Ad-Hoc Networks. NGMAST 2011: 117-122 - 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
Parts in Books or Collections
- 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
Informal and Other Publications
- 2024
- [i46]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) - [i45]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) - [i44]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) - [i43]Cusuh Ham, Matthew Fisher, James Hays, Nicholas Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz:
Personalized Residuals for Concept-Driven Text-to-Image Generation. CoRR abs/2405.12978 (2024) - [i42]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) - [i41]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) - 2023
- [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
- [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
- [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
- [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) - 2019
- [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
- [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
- [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
- [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
- [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)
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