Anand Bhattad

According to our database, Anand Bhattad authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion.

Xiang Fan, Anand Bhattad, Ranjay Krishna

CoRR, 2024

2023

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

CoRR, 2023

Generative Models: What do they know? Do they know things? Let's find out!

Xiaodan Du, Nicholas I. Kolkin, Greg Shakhnarovich, Anand Bhattad

CoRR, 2023

Blocks2World: Controlling Realistic Scenes with Editable Primitives.

Vaibhav Vavilala, Seemandhar Jain, Rahul Vasanth, Anand Bhattad, 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, Anand Bhattad, Shenlong Wang

CoRR, 2023

Make It So: Steering StyleGAN for Any Image Inversion and Editing.

Anand Bhattad, Viraj Shah, Derek Hoiem, David A. Forsyth

CoRR, 2023

OBJECT 3DIT: Language-guided 3D-aware Image Editing.

Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Aniruddha Kembhavi, Tanmay Gupta

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

StyleGAN knows Normal, Depth, Albedo, and More.

Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors.

Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Enriching StyleGAN with Illumination Physics.

Anand Bhattad, David A. Forsyth

CoRR, 2022

DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering.

Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cut-and-Paste Object Insertion by Enabling Deep Image Prior for Reshading.

Anand Bhattad, David A. Forsyth

Proceedings of the International Conference on 3D Vision, 2022

2021

SIRfyN: Single Image Relighting from your Neighbors.

David A. Forsyth, Anand Bhattad, Pranav Asthana, Yuanyi Zhong, Yu-Xiong Wang

CoRR, 2021

View Generalization for Single Image Textured 3D Models.

Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Cut-and-Paste Neural Rendering.

Anand Bhattad, David A. Forsyth

CoRR, 2020

Improving Style Transfer with Calibrated Metrics.

Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, Chuhang Zou, David A. Forsyth

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Unrestricted Adversarial Examples via Semantic Manipulation.

Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Big but Imperceptible Adversarial Perturbations via Semantic Manipulation.

Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth

CoRR, 2019

2018

Quantitative Evaluation of Style Transfer.

Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, David A. Forsyth

CoRR, 2018

Detecting Anomalous Faces with 'No Peeking' Autoencoders.

Anand Bhattad, Jason Rock, David A. Forsyth

CoRR, 2018