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Anand Bhattad
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2020 – today
- 2024
- [c12]Kalyani Marathe, Mahtab Bigverdi, Nishat Khan, Tuhin Kundu, Patrick Howe, Sharan Ranjit S, Anand Bhattad, Aniruddha Kembhavi, Linda G. Shapiro, Ranjay Krishna:
MIMIC: Masked Image Modeling with Image Correspondences. CVPR Workshops 2024: 718-727 - [c11]Anand Bhattad, James Soole, David A. Forsyth:
StyLitGAN: Image-Based Relighting via Latent Control. CVPR 2024: 4231-4240 - [c10]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 - [c9]Xiang Fan, Anand Bhattad, Ranjay Krishna:
VIDEOSHOP: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion. ECCV (12) 2024: 232-250 - [i20]Xiang Fan, Anand Bhattad, Ranjay Krishna:
Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion. CoRR abs/2403.14617 (2024) - [i19]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) - [i18]Zitian Zhang, Frédéric Fortier-Chouinard, Mathieu Garon, Anand Bhattad, Jean-François Lalonde:
ZeroComp: Zero-shot Object Compositing from Image Intrinsics via Diffusion. CoRR abs/2410.08168 (2024) - 2023
- [c8]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 - [c7]Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth:
StyleGAN knows Normal, Depth, Albedo, and More. NeurIPS 2023 - [c6]Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Aniruddha Kembhavi, Tanmay Gupta:
OBJECT 3DIT: Language-guided 3D-aware Image Editing. NeurIPS 2023 - [i17]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) - [i16]Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth:
StyleGAN knows Normal, Depth, Albedo, and More. CoRR abs/2306.00987 (2023) - [i15]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) - [i14]Vaibhav Vavilala, Seemandhar Jain, Rahul Vasanth, Anand Bhattad, David A. Forsyth:
Blocks2World: Controlling Realistic Scenes with Editable Primitives. CoRR abs/2307.03847 (2023) - [i13]Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Aniruddha Kembhavi, Tanmay Gupta:
OBJECT 3DIT: Language-guided 3D-aware Image Editing. CoRR abs/2307.11073 (2023) - [i12]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) - [i11]Xiaodan Du, Nicholas I. Kolkin, Greg Shakhnarovich, Anand Bhattad:
Generative Models: What do they know? Do they know things? Let's find out! CoRR abs/2311.17137 (2023) - [i10]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) - 2022
- [c5]Anand Bhattad, David A. Forsyth:
Cut-and-Paste Object Insertion by Enabling Deep Image Prior for Reshading. 3DV 2022: 332-341 - [c4]Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth:
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering. CVPR 2022: 16179-16188 - [i9]Anand Bhattad, David A. Forsyth:
Enriching StyleGAN with Illumination Physics. CoRR abs/2205.10351 (2022) - 2021
- [c3]Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro:
View Generalization for Single Image Textured 3D Models. CVPR 2021: 6081-6090 - [i8]Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro:
View Generalization for Single Image Textured 3D Models. CoRR abs/2106.06533 (2021) - [i7]Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth:
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering. CoRR abs/2111.10427 (2021) - [i6]David A. Forsyth, Anand Bhattad, Pranav Asthana, Yuanyi Zhong, Yu-Xiong Wang:
SIRfyN: Single Image Relighting from your Neighbors. CoRR abs/2112.04497 (2021) - 2020
- [c2]Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth:
Unrestricted Adversarial Examples via Semantic Manipulation. ICLR 2020 - [c1]Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, Chuhang Zou, David A. Forsyth:
Improving Style Transfer with Calibrated Metrics. WACV 2020: 3149-3157 - [i5]Anand Bhattad, David A. Forsyth:
Cut-and-Paste Neural Rendering. CoRR abs/2010.05907 (2020)
2010 – 2019
- 2019
- [i4]Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth:
Big but Imperceptible Adversarial Perturbations via Semantic Manipulation. CoRR abs/1904.06347 (2019) - [i3]Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, Chuhang Zou, David A. Forsyth:
Improving Style Transfer with Calibrated Metrics. CoRR abs/1910.09447 (2019) - 2018
- [i2]Anand Bhattad, Jason Rock, David A. Forsyth:
Detecting Anomalous Faces with 'No Peeking' Autoencoders. CoRR abs/1802.05798 (2018) - [i1]Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, David A. Forsyth:
Quantitative Evaluation of Style Transfer. CoRR abs/1804.00118 (2018)
Coauthor Index
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last updated on 2024-12-11 20:41 CET by the dblp team
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