5 papers
Alignment Is All You Need For X-to-4D Generation
Qiaowei Miao, Kehan Li, Yawei Luo +1
Generative diffusion models excel at synthesizing high-quality images, videos, and 3D content under multimodal control. However, arbitrary user-defined modality-to-4D (X-to-4D) gen…
ParticleGS: Learning Neural Gaussian Particle Dynamics from Videos for Prior-free Physical Motion Extrapolation
Jinsheng Quan, Qiaowei Miao, Yichao Xu +5
The ability to extrapolate dynamic 3D scenes beyond the observed timeframe is fundamental to advancing physical world understanding and predictive modeling. Existing dynamic 3D rec…
Advances in 4D Generation: A Survey
Qiaowei Miao, Kehan Li, Jinsheng Quan +6
Generative artificial intelligence has recently progressed from static image and video synthesis to 3D content generation, culminating in the emergence of 4D generation-the task of…
PLA4D: Pixel-Level Alignments for Text-to-4D Gaussian Splatting
Qiaowei Miao, JinSheng Quan, Kehan Li +1
Previous text-to-4D methods have leveraged multiple Score Distillation Sampling (SDS) techniques, combining motion priors from video-based diffusion models (DMs) with geometric pri…
DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution Generalization
Qiaowei Miao, Yawei Luo, Yi Yang
While deep neural networks have made remarkable progress in various vision tasks, their performance typically deteriorates when tested in out-of-distribution (OOD) scenarios. Many…