2 citations · 2 across the 6 of their papers we have counts for
6 papers
Latent Dynamics for Full Body Avatar Animation
Shichong Peng, Chengxiang Yin, Fei Jiang +7
Pose-driven full-body avatars built on neural rendering produce high-quality novel views of a captured subject. Yet loose clothing and other dynamic elements deform in ways pose al…
Large-scale Codec Avatars: The Unreasonable Effectiveness of Large-scale Avatar Pretraining
Junxuan Li, Rawal Khirodkar, Chengan He +37
High-quality 3D avatar modeling faces a critical trade-off between fidelity and generalization. On the one hand, multi-view studio data enables high-fidelity modeling of humans wit…
Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data
Wufei Ma, Kai Li, Zhongshi Jiang +5
Recent video-text foundation models have demonstrated strong performance on a wide variety of downstream video understanding tasks. Can these video-text models genuinely understand…
CHOSEN: Contrastive Hypothesis Selection for Multi-View Depth Refinement
Di Qiu, Yinda Zhang, Thabo Beeler +5
We propose CHOSEN, a simple yet flexible, robust and effective multi-view depth refinement framework. It can be employed in any existing multi-view stereo pipeline, with straightfo…
OmniSyn: Synthesizing 360 Videos with Wide-baseline Panoramas
David Li, Yinda Zhang, Christian Häne +3
Immersive maps such as Google Street View and Bing Streetside provide true-to-life views with a massive collection of panoramas. However, these panoramas are only available at spar…
Compact Relaxations for MAP Inference in Pairwise MRFs with Piecewise Linear Priors
Christopher Zach, Christian Häne
Label assignment problems with large state spaces are important tasks especially in computer vision. Often the pairwise interaction (or smoothness prior) between labels assigned at…