Anand Bhattad

50 papers A* 12A 2Journal 32Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Stronger Semantic Encoders Can Harm Relighting Performance: Probing Visual Priors via Augmented Latent Intrinsics.
CoRR
Xiaoyan Xing, Xiao Zhang, Sezer Karaoglu, Theo Gevers, Anand Bhattad
2026 J jnl
SyncLight: Controllable and Consistent Multi-View Relighting.
CoRR
David Serrano-Lozano, Anand Bhattad, Luis Herranz, Jean-François Lalonde, Javier Vazquez-Corral
2026 J jnl
ViT-5: Vision Transformers for The Mid-2020s.
CoRR
Feng Wang, Sucheng Ren, Tiezheng Zhang, Predrag Neskovic, Anand Bhattad, Cihang Xie, Alan L. Yuille
2025 J jnl
Do You Know Where Your Camera Is? View-Invariant Policy Learning with Camera Conditioning.
CoRR
Tianchong Jiang, Jingtian Ji, Xiangshan Tan, Jiading Fang, Anand Bhattad, Vitor Guizilini, Matthew R. Walter
2025 J jnl
Generative Blocks World: Moving Things Around in Pictures.
CoRR
Vaibhav Vavilala, Seemandhar Jain, Rahul Vasanth, David A. Forsyth, Anand Bhattad
2025 A* conf
LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relighting.
CVPR
Xiaoyan Xing, Konrad Groh, Sezer Karaoglu, Theo Gevers, Anand Bhattad
2025 J jnl
Name That Part: 3D Part Segmentation and Naming.
CoRR
Soumava Paul, Prakhar Kaushik, Ankit Vaidya, Anand Bhattad, Alan L. Yuille
2025 J jnl
Objects in Generated Videos Are Slower Than They Appear: Models Suffer Sub-Earth Gravity and Don't Know Galileo's Principle...for now.
CoRR
Varun Varma Thozhiyoor, Shivam Tripathi, Venkatesh Babu Radhakrishnan, Anand Bhattad
2025 A* conf
ScribbleLight: Single Image Indoor Relighting with Scribbles.
CVPR
Jun Myeong Choi, Annie Wang, Pieter Peers, Anand Bhattad, Roni Sengupta
2025 — conf
UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video.
3DV
Chih-Hao Lin, Bohan Liu, Yi-Ting Chen, Kuan-Sheng Chen, David A. Forsyth, Jia-Bin Huang, Anand Bhattad, Shenlong Wang
2025 J jnl
Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting.
CoRR
Anand Bhattad, Konpat Preechakul, Alexei A. Efros
2025 A conf
Zerocomp: Zero-Shot Object Compositing from Image Intrinsics via Diffusion.
WACV
Zitian Zhang, Frédéric Fortier-Chouinard, Mathieu Garon, Anand Bhattad, Jean-François Lalonde
2024 J jnl
From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos.
CoRR
Matthew Wallingford, Anand Bhattad, Aditya Kusupati, Vivek Ramanujan, Matt Deitke, Sham M. Kakade, Aniruddha Kembhavi, Roozbeh Mottaghi, Wei-Chiu Ma, Ali Farhadi
2024 A* conf
From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos.
NeurIPS
Matthew Wallingford, Anand Bhattad, Aditya Kusupati, Vivek Ramanujan, Matt Deitke, Aniruddha Kembhavi, Roozbeh Mottaghi, Wei-Chiu Ma, Ali Farhadi
2024 A* conf
Latent Intrinsics Emerge from Training to Relight.
NeurIPS
Xiao Zhang, William Gao, Seemandhar Jain, Michael Maire, David A. Forsyth, Anand Bhattad
2024 J jnl
Latent Intrinsics Emerge from Training to Relight.
CoRR
Xiao Zhang, William Gao, Seemandhar Jain, Michael Maire, David A. Forsyth, Anand Bhattad
2024 J jnl
LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relighting.
CoRR
Xiaoyan Xing, Konrad Groh, Sezer Karaoglu, Theo Gevers, Anand Bhattad
2024 — conf
MIMIC: Masked Image Modeling with Image Correspondences.
CVPR Workshops
Kalyani Marathe, Mahtab Bigverdi, Nishat Khan, Tuhin Kundu, Patrick Howe, Sharan Ranjit S, Anand Bhattad, Aniruddha Kembhavi, Linda G. Shapiro, Ranjay Krishna
2024 J jnl
ScribbleLight: Single Image Indoor Relighting with Scribbles.
CoRR
Jun Myeong Choi, Annie Wang, Pieter Peers, Anand Bhattad, Roni Sengupta
2024 A* conf
Shadows Don't Lie and Lines Can't Bend! Generative Models Don't know Projective Geometry...for Now.
CVPR
Ayush Sarkar, Hanlin Mai, Amitabh Mahapatra, Svetlana Lazebnik, David A. Forsyth, Anand Bhattad
2024 J jnl
SpotLight: Shadow-Guided Object Relighting via Diffusion.
CoRR
Frédéric Fortier-Chouinard, Zitian Zhang, Louis-Etienne Messier, Mathieu Garon, Anand Bhattad, Jean-François Lalonde
2024 A* conf
StyLitGAN: Image-Based Relighting via Latent Control.
CVPR
Anand Bhattad, James Soole, David A. Forsyth
2024 — conf
VIDEOSHOP: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion.
ECCV (12)
Xiang Fan, Anand Bhattad, Ranjay Krishna
2024 J jnl
Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion.
CoRR
Xiang Fan, Anand Bhattad, Ranjay Krishna
2024 J jnl
ZeroComp: Zero-shot Object Compositing from Image Intrinsics via Diffusion.
CoRR
Zitian Zhang, Frédéric Fortier-Chouinard, Mathieu Garon, Anand Bhattad, Jean-François Lalonde
2023 J jnl
Blocks2World: Controlling Realistic Scenes with Editable Primitives.
CoRR
Vaibhav Vavilala, Seemandhar Jain, Rahul Vasanth, Anand Bhattad, David A. Forsyth
2023 J jnl
Generative Models: What do they know? Do they know things? Let's find out!
CoRR
Xiaodan Du, Nicholas I. Kolkin, Greg Shakhnarovich, Anand Bhattad
2023 A* conf
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors.
ICCV
Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
2023 J jnl
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors.
CoRR
Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
2023 J jnl
Make It So: Steering StyleGAN for Any Image Inversion and Editing.
CoRR
Anand Bhattad, Viraj Shah, Derek Hoiem, David A. Forsyth
2023 A* conf
OBJECT 3DIT: Language-guided 3D-aware Image Editing.
NeurIPS
Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Aniruddha Kembhavi, Tanmay Gupta
2023 J jnl
OBJECT 3DIT: Language-guided 3D-aware Image Editing.
CoRR
Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Aniruddha Kembhavi, Tanmay Gupta
2023 J jnl
Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now.
CoRR
Ayush Sarkar, Hanlin Mai, Amitabh Mahapatra, Svetlana Lazebnik, David A. Forsyth, Anand Bhattad
2023 A* conf
StyleGAN knows Normal, Depth, Albedo, and More.
NeurIPS
Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth
2023 J jnl
StyleGAN knows Normal, Depth, Albedo, and More.
CoRR
Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth
2023 J jnl
UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video.
CoRR
Zhi-Hao Lin, Bohan Liu, Yi-Ting Chen, David A. Forsyth, Jia-Bin Huang, Anand Bhattad, Shenlong Wang
2022 — conf
Cut-and-Paste Object Insertion by Enabling Deep Image Prior for Reshading.
3DV
Anand Bhattad, David A. Forsyth
2022 A* conf
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering.
CVPR
Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
2022 J jnl
Enriching StyleGAN with Illumination Physics.
CoRR
Anand Bhattad, David A. Forsyth
2021 J jnl
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering.
CoRR
Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
2021 J jnl
SIRfyN: Single Image Relighting from your Neighbors.
CoRR
David A. Forsyth, Anand Bhattad, Pranav Asthana, Yuanyi Zhong, Yu-Xiong Wang
2021 A* conf
View Generalization for Single Image Textured 3D Models.
CVPR
Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro
2021 J jnl
View Generalization for Single Image Textured 3D Models.
CoRR
Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro
2020 J jnl
Cut-and-Paste Neural Rendering.
CoRR
Anand Bhattad, David A. Forsyth
2020 A conf
Improving Style Transfer with Calibrated Metrics.
WACV
Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, Chuhang Zou, David A. Forsyth
2020 A* conf
Unrestricted Adversarial Examples via Semantic Manipulation.
ICLR
Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth
2019 J jnl
Big but Imperceptible Adversarial Perturbations via Semantic Manipulation.
CoRR
Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth
2019 J jnl
Improving Style Transfer with Calibrated Metrics.
CoRR
Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, Chuhang Zou, David A. Forsyth
2018 J jnl
Detecting Anomalous Faces with 'No Peeking' Autoencoders.
CoRR
Anand Bhattad, Jason Rock, David A. Forsyth
2018 J jnl
Quantitative Evaluation of Style Transfer.
CoRR
Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, David A. Forsyth