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Anand Bhattad
Anand Bhattad
Research Assistant Professor, TTI-Chicago | Past: UIUC
Zweryfikowany adres z ttic.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Unrestricted adversarial examples via semantic manipulation
A Bhattad*, MJ Chong*, K Liang, B Li, DA Forsyth
ICLR 2020, 2020
208*2020
Diver: Real-time and accurate neural radiance fields with deterministic integration for volume rendering
L Wu, JY Lee, A Bhattad, YX Wang, D Forsyth
CVPR 2022 (Best Paper Finalist; First Mentee paper), 2022
822022
View generalization for single image textured 3d models
A Bhattad, A Dundar, G Liu, A Tao, B Catanzaro
CVPR 2021, 2021
342021
Improving Style Transfer with Calibrated Metrics
MC Yeh*, S Tang*, A Bhattad, C Zou, DA Forsyth
WACV 2020, 2020
31*2020
Object 3dit: Language-guided 3d-aware image editing
O Michel, A Bhattad, E VanderBilt, R Krishna, A Kembhavi, T Gupta
NeurIPS 2023, 2023
302023
StyleGAN knows Normal, Depth, Albedo, and More
A Bhattad, D McKee, D Hoiem, DA Forsyth
NeurIPS 2023, 2023
302023
Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry... for now
A Sarkar*, H Mai*, A Mahapatra*, S Lazebnik, DA Forsyth, A Bhattad
CVPR 2024, 2024
292024
Generative Models: What do they know? Do they know things? Let's find out!
X Du, N Kolkin, G Shakhnarovich, A Bhattad
arXiv:2311.17137, 2023
22*2023
Cut-and-Paste Object Insertion by Enabling Deep Image Prior for Reshading
A Bhattad, DA Forsyth
3DV 2022, 2022
22*2022
StyLitGAN: Image-Based Relighting via Latent Control
A Bhattad, J Soole, DA Forsyth
CVPR 2024, 2024
20*2024
Detecting Anomalous Faces with 'No Peeking' Autoencoders
A Bhattad, J Rock, DA Forsyth
CVPR-W 2018, 2018
192018
Make it so: Steering stylegan for any image inversion and editing
A Bhattad, V Shah, D Hoiem, DA Forsyth
arXiv preprint arXiv:2304.14403, 2023
112023
Urbanir: Large-scale urban scene inverse rendering from a single video
ZH Lin, B Liu, YT Chen, D Forsyth, JB Huang, A Bhattad, S Wang
3DV 2025, 2024
62024
Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion
X Fan, A Bhattad*, R Krishna*
ECCV 2024, 2024
32024
Blocks2world: Controlling realistic scenes with editable primitives
V Vavilala, S Jain, R Vasanth, A Bhattad, D Forsyth
arXiv:2307.03847, 2023
32023
Sirfyn: Single image relighting from your neighbors
DA Forsyth, A Bhattad, P Asthana, Y Zhong, Y Wang
Technical Report, 2021
32021
ZeroComp: Zero-shot Object Compositing from Image Intrinsics via Diffusion
Z Zhang, F Fortier-Chouinard, M Garon, A Bhattad, JF Lalonde
WACV 2025, 2024
22024
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors
Y Zhong, A Bhattad, YX Wang, D Forsyth
ICCV 2023, 2023
22023
Latent Intrinsics Emerge from Training to Relight
X Zhang, W Gao, S Jain, M Maire, D Forsyth, A Bhattad
NeurIPS 2024, 2024
12024
LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relighting
X Xing, K Groh, S Karagolu, T Gevers, A Bhattad
arXiv preprint arXiv:2412.00177, 2024
2024
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Prace 1–20