Anand Bhattad

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Shape From Shading

Quantitative Evaluation

Projective Geometry

Top Venues

Publications

Xiao Zhang, William Gao, Seemandhar Jain, Michael Maire, David A. Forsyth, Anand Bhattad
Latent Intrinsics Emerge from Training to Relight. CoRR (2024)
Xiang Fan, Anand Bhattad, Ranjay Krishna
Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion. CoRR (2024)
Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth
StyleGAN knows Normal, Depth, Albedo, and More. NeurIPS (2023)
Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. CoRR (2023)
Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Aniruddha Kembhavi, Tanmay Gupta
OBJECT 3DIT: Language-guided 3D-aware Image Editing. CoRR (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 (2023)
Anand Bhattad, Viraj Shah, Derek Hoiem, David A. Forsyth
Make It So: Steering StyleGAN for Any Image Inversion and Editing. CoRR (2023)
Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Aniruddha Kembhavi, Tanmay Gupta
OBJECT 3DIT: Language-guided 3D-aware Image Editing. NeurIPS (2023)
Vaibhav Vavilala, Seemandhar Jain, Rahul Vasanth, Anand Bhattad, David A. Forsyth
Blocks2World: Controlling Realistic Scenes with Editable Primitives. CoRR (2023)
Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth
StyleGAN knows Normal, Depth, Albedo, and More. CoRR (2023)
Xiaodan Du, Nicholas I. Kolkin, Greg Shakhnarovich, Anand Bhattad
Generative Models: What do they know? Do they know things? Let's find out! CoRR (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 (2023)
Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. ICCV (2023)
Anand Bhattad, David A. Forsyth
Enriching StyleGAN with Illumination Physics. CoRR (2022)
Anand Bhattad, David A. Forsyth
Cut-and-Paste Object Insertion by Enabling Deep Image Prior for Reshading. 3DV (2022)
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)
Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro
View Generalization for Single Image Textured 3D Models. CVPR (2021)
Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro
View Generalization for Single Image Textured 3D Models. CoRR (2021)
David A. Forsyth, Anand Bhattad, Pranav Asthana, Yuanyi Zhong, Yu-Xiong Wang
SIRfyN: Single Image Relighting from your Neighbors. CoRR (2021)
Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David Forsyth
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering. CoRR (2021)
Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, Chuhang Zou, David A. Forsyth
Improving Style Transfer with Calibrated Metrics. WACV (2020)
Anand Bhattad, David A. Forsyth
Cut-and-Paste Neural Rendering. CoRR (2020)
Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth
Unrestricted Adversarial Examples via Semantic Manipulation. ICLR (2020)
Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth
Big but Imperceptible Adversarial Perturbations via Semantic Manipulation. CoRR (2019)
Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, Chuhang Zou, David A. Forsyth
Improving Style Transfer with Calibrated Metrics. CoRR (2019)
Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, David A. Forsyth
Quantitative Evaluation of Style Transfer. CoRR (2018)
Anand Bhattad, Jason Rock, David A. Forsyth
Detecting Anomalous Faces with 'No Peeking' Autoencoders. CoRR (2018)