Detecting Anomalous Faces with 'No Peeking' Autoencoders. - Anand Bhattad; Jason Rock; David A. Forsyth (CoRR, 2018)

Quantitative Evaluation of Style Transfer. - Mao-Chuang Yeh; Shuai Tang; Anand Bhattad; David A. Forsyth (CoRR, 2018)

Big but Imperceptible Adversarial Perturbations via Semantic Manipulation. - Anand Bhattad; Min Jin Chong; Kaizhao Liang; Bo Li 026; David A. Forsyth (CoRR, 2019)

Unrestricted Adversarial Examples via Semantic Manipulation. - Anand Bhattad; Min Jin Chong; Kaizhao Liang; Bo Li 026; David A. Forsyth (ICLR, 2020)

Improving Style Transfer with Calibrated Metrics. - Mao-Chuang Yeh; Shuai Tang; Anand Bhattad; Chuhang Zou; David A. Forsyth (WACV, 2020)

Cut-and-Paste Neural Rendering. - Anand Bhattad; David A. Forsyth (CoRR, 2020)

View Generalization for Single Image Textured 3D Models. - Anand Bhattad; Aysegul Dundar; Guilin Liu; Andrew Tao; Bryan Catanzaro (CVPR, 2021)

SIRfyN: Single Image Relighting from your Neighbors. - David A. Forsyth; Anand Bhattad; Pranav Asthana; Yuanyi Zhong; Yu-Xiong Wang (CoRR, 2021)

Cut-and-Paste Object Insertion by Enabling Deep Image Prior for Reshading. - Anand Bhattad; David A. Forsyth (3DV, 2022)

DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering. - Liwen Wu; Jae Yong Lee 006; Anand Bhattad; Yu-Xiong Wang; David A. Forsyth (CVPR, 2022)

Enriching StyleGAN with Illumination Physics. - Anand Bhattad; David A. Forsyth (CoRR, 2022)

Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. - Yuanyi Zhong; Anand Bhattad; Yu-Xiong Wang; David A. Forsyth (ICCV, 2023)

StyleGAN knows Normal, Depth, Albedo, and More. - Anand Bhattad; Daniel McKee; Derek Hoiem; David A. Forsyth (NeurIPS, 2023)

OBJECT 3DIT: Language-guided 3D-aware Image Editing. - Oscar Michel; Anand Bhattad; Eli VanderBilt; Ranjay Krishna; Aniruddha Kembhavi; Tanmay Gupta (NeurIPS, 2023)

Make It So: Steering StyleGAN for Any Image Inversion and Editing. - Anand Bhattad; Viraj Shah; Derek Hoiem; David A. Forsyth (CoRR, 2023)

UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video. - Zhi-Hao Lin; Bohan Liu; Yi-Ting Chen; David A. Forsyth; Jia-Bin Huang 001; Anand Bhattad; Shenlong Wang (CoRR, 2023)

Blocks2World: Controlling Realistic Scenes with Editable Primitives. - Vaibhav Vavilala; Seemandhar Jain; Rahul Vasanth; Anand Bhattad; David A. Forsyth (CoRR, 2023)

Generative Models: What do they know? Do they know things? Let's find out! - Xiaodan Du 001; Nicholas I. Kolkin; Greg Shakhnarovich; Anand Bhattad (CoRR, 2023)

StyLitGAN: Image-Based Relighting via Latent Control. - Anand Bhattad; James Soole; David A. Forsyth (CVPR, 2024)

MIMIC: Masked Image Modeling with Image Correspondences. - Kalyani Marathe; Mahtab Bigverdi; Nishat Khan; Tuhin Kundu; Patrick Howe; Sharan Ranjit S; Anand Bhattad; Aniruddha Kembhavi; Linda G. Shapiro; Ranjay Krishna (CVPR Workshops, 2024)

Shadows Don't Lie and Lines Can't Bend! Generative Models Don't know Projective Geometry...for Now. - Ayush Sarkar; Hanlin Mai; Amitabh Mahapatra; Svetlana Lazebnik; David A. Forsyth; Anand Bhattad (CVPR, 2024)

VIDEOSHOP: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion. - Xiang Fan; Anand Bhattad; Ranjay Krishna (ECCV (12), 2024)

From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos. - Matthew Wallingford; Anand Bhattad; Aditya Kusupati; Vivek Ramanujan; Matt Deitke; Aniruddha Kembhavi; Roozbeh Mottaghi; Wei-Chiu Ma; Ali Farhadi (NeurIPS, 2024)

Latent Intrinsics Emerge from Training to Relight. - Xiao Zhang; William Gao; Seemandhar Jain; Michael Maire; David A. Forsyth; Anand Bhattad (NeurIPS, 2024)

SpotLight: Shadow-Guided Object Relighting via Diffusion. - Frédéric Fortier-Chouinard; Zitian Zhang; Louis-Etienne Messier; Mathieu Garon; Anand Bhattad; Jean-François Lalonde (CoRR, 2024)

From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos. - Matthew Wallingford; Anand Bhattad; Aditya Kusupati; Vivek Ramanujan; Matt Deitke; Sham M. Kakade; Aniruddha Kembhavi; Roozbeh Mottaghi; Wei-Chiu Ma; Ali Farhadi (CoRR, 2024)

UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video. - Chih-Hao Lin; Bohan Liu; Yi-Ting Chen; Kuan-Sheng Chen; David A. Forsyth; Jia-Bin Huang; Anand Bhattad; Shenlong Wang (3DV, 2025)

ScribbleLight: Single Image Indoor Relighting with Scribbles. - Jun Myeong Choi; Annie Wang; Pieter Peers; Anand Bhattad; Roni Sengupta (CVPR, 2025)

LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relighting. - Xiaoyan Xing; Konrad Groh; Sezer Karaoglu; Theo Gevers; Anand Bhattad (CVPR, 2025)

Zerocomp: Zero-Shot Object Compositing from Image Intrinsics via Diffusion. - Zitian Zhang; Frédéric Fortier-Chouinard; Mathieu Garon; Anand Bhattad; Jean-François Lalonde (WACV, 2025)

Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting. - Anand Bhattad; Konpat Preechakul; Alexei A. Efros (CoRR, 2025)

Generative Blocks World: Moving Things Around in Pictures. - Vaibhav Vavilala; Seemandhar Jain; Rahul Vasanth; David A. Forsyth; Anand Bhattad (CoRR, 2025)