2 citations · 2 across the 10 of their papers we have counts for
7 papers · 1 filter
LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens
Zekun Li, Sizhe An, Chengcheng Tang +7
Recent progress in large models has led to significant advances in unified multimodal generation and understanding. However, the development of models that unify motion-language ge…
GenHSI: Controllable Generation of Human-Scene Interaction Videos
Zekun Li, Rui Zhou, Rahul Sajnani +3
Large-scale pre-trained video diffusion models have exhibited remarkable capabilities in diverse video generation. However, existing solutions face several challenges in generating…
DyTact: Capturing Dynamic Contacts in Hand-Object Manipulation
Xiaoyan Cong, Angela Xing, Chandradeep Pokhariya +2
Reconstructing dynamic hand-object contacts is essential for realistic manipulation in AI character animation, XR, and robotics, yet it remains challenging due to heavy occlusions,…
InteractAvatar: Modeling Hand-Face Interaction in Photorealistic Avatars with Deformable Gaussians
Kefan Chen, Sergiu Oprea, Justin Theiss +3
With the rising interest from the community in digital avatars coupled with the importance of expressions and gestures in communication, modeling natural avatar behavior remains an…
Art3D: Training-Free 3D Generation from Flat-Colored Illustration
Xiaoyan Cong, Jiayi Shen, Zekun Li +3
Large-scale pre-trained image-to-3D generative models have exhibited remarkable capabilities in diverse shape generations. However, most of them struggle to synthesize plausible 3D…
UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping
Aashish Rai, Dilin Wang, Mihir Jain +4
3D Gaussian Splatting (3DGS) has demonstrated superior quality in modeling 3D objects and scenes. However, generating 3DGS remains challenging due to their discrete, unstructured,…