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Author search results
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- David A. Forsyth
aka: David Alexander Forsyth
University of Illinois, Urbana-Champaign, IL, USA - David S. Forsyth
Texas Research International Inc., Austin, TX, USA - D. David Forsythe
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Publication search results
found 335 matches
- 2024
- Anand Bhattad, James Soole, David A. Forsyth:
StyLitGAN: Image-Based Relighting via Latent Control. CVPR 2024: 4231-4240 - Ayush Sarkar, Hanlin Mai, Amitabh Mahapatra, Svetlana Lazebnik, David A. Forsyth, Anand Bhattad:
Shadows Don't Lie and Lines Can't Bend! Generative Models Don't know Projective Geometry...for Now. CVPR 2024: 28140-28149 - Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David A. Forsyth, Dan Hendrycks:
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal. ICML 2024 - Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song:
SoK: Privacy-Preserving Data Synthesis. SP 2024: 4696-4713 - Jeffrey Zhang, Shao-Yu Chang, Kedan Li, David A. Forsyth:
Preserving Image Properties Through Initializations in Diffusion Models. WACV 2024: 5230-5238 - Min Jin Chong, Krishna Kumar Singh, Yijun Li, Jingwan Lu, David A. Forsyth:
P2D: Plug and Play Discriminator for accelerating GAN frameworks. WACV 2024: 5410-5419 - Kedan Li, Jeffrey Zhang, Shao-Yu Chang, David A. Forsyth:
Controlling Virtual Try-on Pipeline Through Rendering Policies. WACV 2024: 5854-5836 - Jeffrey Zhang, Shao-Yu Chang, Kedan Li, David A. Forsyth:
Preserving Image Properties Through Initializations in Diffusion Models. CoRR abs/2401.02097 (2024) - Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David A. Forsyth, Dan Hendrycks:
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal. CoRR abs/2402.04249 (2024) - Jeffrey Zhang, Kedan Li, Shao-Yu Chang, David A. Forsyth:
ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On. CoRR abs/2403.13951 (2024) - Vaibhav Vavilala, Rahul Vasanth, David A. Forsyth:
Denoising Monte Carlo Renders With Diffusion Models. CoRR abs/2404.00491 (2024) - Vaibhav Vavilala, Florian Kluger, Seemandhar Jain, Bodo Rosenhahn, David A. Forsyth:
Improved Convex Decomposition with Ensembling and Boolean Primitives. CoRR abs/2405.19569 (2024) - Xiao Zhang, William Gao, Seemandhar Jain, Michael Maire, David A. Forsyth, Anand Bhattad:
Latent Intrinsics Emerge from Training to Relight. CoRR abs/2405.21074 (2024) - 2023
- Kedan Li, Jeffrey Zhang, David A. Forsyth:
POVNet: Image-Based Virtual Try-On Through Accurate Warping and Residual. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12222-12235 (2023) - Yuan Shen, Bhargav Chandaka, Zhi-Hao Lin, Albert J. Zhai, Hang Cui, David A. Forsyth, Shenlong Wang:
Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving. IEEE Robotics Autom. Lett. 8(12): 8192-8199 (2023) - Christian D. Chapman, Swaroop Appadwedula, Keith W. Forsythe, William F. Moulder, David W. Browne:
Online Null Adaptation on a Digitally Controllable Reflectarray Receiver. ACSSC 2023: 447-451 - Yuan Li, Zhi-Hao Lin, David A. Forsyth, Jia-Bin Huang, Shenlong Wang:
ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field. ICCV 2023: 3204-3215 - Vaibhav Vavilala, David A. Forsyth:
Convex Decomposition of Indoor Scenes. ICCV 2023: 9142-9152 - Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth:
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. ICCV 2023: 21718-21728 - Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth:
StyleGAN knows Normal, Depth, Albedo, and More. NeurIPS 2023 - Anand Bhattad, Viraj Shah, Derek Hoiem, David A. Forsyth:
Make It So: Steering StyleGAN for Any Image Inversion and Editing. CoRR abs/2304.14403 (2023) - Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth:
StyleGAN knows Normal, Depth, Albedo, and More. CoRR abs/2306.00987 (2023) - Yuan Shen, Bhargav Chandaka, Zhi-Hao Lin, Albert J. Zhai, Hang Cui, David A. Forsyth, Shenlong Wang:
Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving. CoRR abs/2306.08807 (2023) - Zhi-Hao Lin, Bohan Liu, Yi-Ting Chen, David A. Forsyth, Jia-Bin Huang, Anand Bhattad, Shenlong Wang:
UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video. CoRR abs/2306.09349 (2023) - Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song:
SoK: Privacy-Preserving Data Synthesis. CoRR abs/2307.02106 (2023) - Vaibhav Vavilala, David A. Forsyth:
Applying a Color Palette with Local Control using Diffusion Models. CoRR abs/2307.02698 (2023) - Vaibhav Vavilala, Seemandhar Jain, Rahul Vasanth, Anand Bhattad, David A. Forsyth:
Blocks2World: Controlling Realistic Scenes with Editable Primitives. CoRR abs/2307.03847 (2023) - Vaibhav Vavilala, David A. Forsyth:
Convex Decomposition of Indoor Scenes. CoRR abs/2307.04246 (2023) - Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth:
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. CoRR abs/2309.16646 (2023) - Ayush Sarkar, Hanlin Mai, Amitabh Mahapatra, Svetlana Lazebnik, David A. Forsyth, Anand Bhattad:
Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now. CoRR abs/2311.17138 (2023)
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