6 papers
MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons
Kehong Gong, Zhengyu Wen, Dao Thien Phong +10
Recent methods for arbitrary-skeleton motion capture from monocular video follow a factorized pipeline, where a Video-to-Pose network predicts joint positions and an analytical inv…
MoCapAnything: Unified 3D Motion Capture for Arbitrary Skeletons from Monocular Videos
Kehong Gong, Zhengyu Wen, Weixia He +8
Motion capture now underpins content creation far beyond digital humans, yet most existing pipelines remain species- or template-specific. We formalize this gap as Category-Agnosti…
SWiT-4D: Sliding-Window Transformer for Lossless and Parameter-Free Temporal 4D Generation
Kehong Gong, Zhengyu Wen, Mingxi Xu +9
Despite significant progress in 4D content generation, the conversion of monocular videos into high-quality animated 3D assets with explicit 4D meshes remains considerably challeng…
DreamDrone: Text-to-Image Diffusion Models are Zero-shot Perpetual View Generators
Hanyang Kong, Dongze Lian, Michael Bi Mi +1
We introduce DreamDrone, a novel zero-shot and training-free pipeline for generating unbounded flythrough scenes from textual prompts. Different from other methods that focus on wa…
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach
Taolin Zhang, Jiawang Bai, Zhihe Lu +4
Recent works on parameter-efficient transfer learning (PETL) show the potential to adapt a pre-trained Vision Transformer to downstream recognition tasks with only a few learnable…
FCA-RAC: First Cycle Annotated Repetitive Action Counting
Jiada Lu, WeiWei Zhou, Xiang Qian +5
Repetitive action counting quantifies the frequency of specific actions performed by individuals. However, existing action-counting datasets have limited action diversity, potentia…