1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Animate3D: Animating Any 3D Model with Multi-view Video Diffusion
Yanqin Jiang, Chaohui Yu, Chenjie Cao +3
Recent advances in 4D generation mainly focus on generating 4D content by distilling pre-trained text or single-view image-conditioned models. It is inconvenient for them to take a…
cs.CV2024
STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians
Yifei Zeng, Yanqin Jiang, Siyu Zhu +6
Recent progress in pre-trained diffusion models and 3D generation have spurred interest in 4D content creation. However, achieving high-fidelity 4D generation with spatial-temporal…
cs.CV2023★ 1 cited
Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video
Yanqin Jiang, Li Zhang, Jin Gao +2
In this paper, we present Consistent4D, a novel approach for generating 4D dynamic objects from uncalibrated monocular videos. Uniquely, we cast the 360-degree dynamic object recon…