30 citations · 99 across the 18 of their papers we have counts for
6 papers · 1 filter
DECO: Dense Estimation of 3D Human-Scene Contact In The Wild
Shashank Tripathi, Agniv Chatterjee, Jean-Claude Passy +3
Understanding how humans use physical contact to interact with the world is key to enabling human-centric artificial intelligence. While inferring 3D contact is crucial for modelin…
POCO: 3D Pose and Shape Estimation with Confidence
Sai Kumar Dwivedi, Cordelia Schmid, Hongwei Yi +2
The regression of 3D Human Pose and Shape (HPS) from an image is becoming increasingly accurate. This makes the results useful for downstream tasks like human action recognition or…
TADA! Text to Animatable Digital Avatars
Tingting Liao, Hongwei Yi, Yuliang Xiu +4
We introduce TADA, a simple-yet-effective approach that takes textual descriptions and produces expressive 3D avatars with high-quality geometry and lifelike textures, that can be…
TeCH: Text-guided Reconstruction of Lifelike Clothed Humans
Yangyi Huang, Hongwei Yi, Yuliang Xiu +4
Despite recent research advancements in reconstructing clothed humans from a single image, accurately restoring the "unseen regions" with high-level details remains an unsolved cha…
GraMMaR: Ground-aware Motion Model for 3D Human Motion Reconstruction
Sihan Ma, Qiong Cao, Hongwei Yi +2
Demystifying complex human-ground interactions is essential for accurate and realistic 3D human motion reconstruction from RGB videos, as it ensures consistency between the humans…
SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments
Yudi Dai, Yitai Lin, Xiping Lin +6
We present SLOPER4D, a novel scene-aware dataset collected in large urban environments to facilitate the research of global human pose estimation (GHPE) with human-scene interactio…