activity
20242026
collaborators

7 papers

cs.CV2026

HiQGS: Hierarchical Spatiotemporal Querying for Feed-Forward Gaussian Reconstruction

Qiaowei Miao, Qifeng Cheng, Yijing Guo +3

Feed-forward Gaussian reconstruction from sparse posed monocular frames requires reasoning over observations that vary jointly in viewpoint and time. Existing methods either predic…

cs.CV2026

Causal Spatiotemporal State Evolution for Monocular 4D Reconstruction

Qiaowei Miao, Yijing Guo, Lipei Zhang +4

While feed-forward models excel in static 3D geometry estimation, extending them to dynamic 4D scenes requires modeling visual geometry as a causally evolving state. Current method…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2024

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…