3 citations · 5 across the 6 of their papers we have counts for
7 papers
DreamDance: Animating Character Art via Inpainting Stable Gaussian Worlds
Jiaxu Zhang, Xianfang Zeng, Xin Chen +4
This paper presents DreamDance, a novel character art animation framework capable of producing stable, consistent character and scene motion conditioned on precise camera trajector…
MikuDance: Animating Character Art with Mixed Motion Dynamics
Jiaxu Zhang, Xianfang Zeng, Xin Chen +3
We propose MikuDance, a diffusion-based pipeline incorporating mixed motion dynamics to animate stylized character art. MikuDance consists of two key techniques: Mixed Motion Model…
Scene123: One Prompt to 3D Scene Generation via Video-Assisted and Consistency-Enhanced MAE
Yiying Yang, Fukun Yin, Jiayuan Fan +3
As Artificial Intelligence Generated Content (AIGC) advances, a variety of methods have been developed to generate text, images, videos, and 3D objects from single or multimodal in…
Generative Motion Stylization of Cross-structure Characters within Canonical Motion Space
Jiaxu Zhang, Xin Chen, Gang Yu +1
Stylized motion breathes life into characters. However, the fixed skeleton structure and style representation hinder existing data-driven motion synthesis methods from generating s…
PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation
Yuhan Ding, Fukun Yin, Jiayuan Fan +6
Recent advances in implicit neural representations have achieved impressive results by sampling and fusing individual points along sampling rays in the sampling space. However, due…
VQ-NeRF: Vector Quantization Enhances Implicit Neural Representations
Yiying Yang, Wen Liu, Fukun Yin +4
Recent advancements in implicit neural representations have contributed to high-fidelity surface reconstruction and photorealistic novel view synthesis. However, the computational…
TapMo: Shape-aware Motion Generation of Skeleton-free Characters
Jiaxu Zhang, Shaoli Huang, Zhigang Tu +4
Previous motion generation methods are limited to the pre-rigged 3D human model, hindering their applications in the animation of various non-rigged characters. In this work, we pr…