activity
20162023
most citedEmbodied Hands: Modeling and Capturing Hands and Bodies Together

1.1k citations · 3.7k across the 97 of their papers we have counts for

collaborators

127 papers

cs.CV2023★ 3 cited

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…

cs.CV2023★ 1 cited

Text-Guided Generation and Editing of Compositional 3D Avatars

Hao Zhang, Yao Feng, Peter Kulits +3

Our goal is to create a realistic 3D facial avatar with hair and accessories using only a text description. While this challenge has attracted significant recent interest, existing…

cs.CV2023★ 13 cited

Learning Disentangled Avatars with Hybrid 3D Representations

Yao Feng, Weiyang Liu, Timo Bolkart +3

Tremendous efforts have been made to learn animatable and photorealistic human avatars. Towards this end, both explicit and implicit 3D representations are heavily studied for a ho…

cs.CV2023

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…

cs.AI2023★ 2 cited

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…

cs.CV2023★ 3 cited

GRIP: Generating Interaction Poses Using Spatial Cues and Latent Consistency

Omid Taheri, Yi Zhou, Dimitrios Tzionas +4

Hands are dexterous and highly versatile manipulators that are central to how humans interact with objects and their environment. Consequently, modeling realistic hand-object inter…