activity
20142024
most citedA Point Set Generation Network for 3D Object Reconstruction from a Single Image

54 citations · 272 across the 43 of their papers we have counts for

collaborators

43 papers

cs.CV2024

MultiPhys: Multi-Person Physics-aware 3D Motion Estimation

Nicolas Ugrinovic, Boxiao Pan, Georgios Pavlakos +5

We introduce MultiPhys, a method designed for recovering multi-person motion from monocular videos. Our focus lies in capturing coherent spatial placement between pairs of individu…

cs.CV20241 cited

Probing the 3D Awareness of Visual Foundation Models

Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis +7

Recent advances in large-scale pretraining have yielded visual foundation models with strong capabilities. Not only can recent models generalize to arbitrary images for their train…

cs.GR20242 cited

PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations

Yang Zheng, Qingqing Zhao, Guandao Yang +8

Modeling and rendering photorealistic avatars is of crucial importance in many applications. Existing methods that build a 3D avatar from visual observations, however, struggle to…

cs.CV2024

Generic 3D Diffusion Adapter Using Controlled Multi-View Editing

Hansheng Chen, Ruoxi Shi, Yulin Liu +5

Open-domain 3D object synthesis has been lagging behind image synthesis due to limited data and higher computational complexity. To bridge this gap, recent works have investigated…

cs.CV2024

Zero-Shot Image Feature Consensus with Deep Functional Maps

Xinle Cheng, Congyue Deng, Adam Harley +2

Correspondences emerge from large-scale vision models trained for generative and discriminative tasks. This has been revealed and benchmarked by computing correspondence maps betwe…

cs.CV20241 cited

OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding

Francis Engelmann, Ayca Takmaz, Jonas Schult +25

This report provides an overview of the challenge hosted at the OpenSUN3D Workshop on Open-Vocabulary 3D Scene Understanding held in conjunction with ICCV 2023. The goal of this wo…