8 papers · 1 filter
ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints
Xiaoyang Bai, Zhenyang Li, Weiwei Xu +2
Deep learning-driven representations such as neural radiance fields (NeRFs) and 3D Gaussian splatting (3DGS) have revolutionized the field of dynamic 3D scene reconstruction with i…
E2Pano: Learning Event-to-Panorama Image Reconstruction
Zhenyang Li, Zongqi He, Jia Pan +2
Event cameras offer microsecond-level temporal resolution and high dynamic range, potentially facilitating motion-blur-free panoramic imaging from fast rotational scanning. Nonethe…
JuZhou 1.0 Technical Report: The First Edge-Native Text-to-Image Foundation Model Trained Entirely on China-Developed AI Accelerators
Ce Chen, Congrui Wang, Yonglin Li +23
Text-to-image (T2I) diffusion models typically require substantial computational resources and cloud infrastructure, posing significant challenges for edge deployment in terms of l…
PatternGSL: A Structured Specification Language for Template-Free and Simulation-Ready 3D Garments
Zhenyang Li, Lutao Jiang, Yizhou Zhao +4
Reconstructing realistic, physically plausible garments from a single image remains a fundamental challenge. Template-free methods capture surface geometry but lack explicit sewing…
PhyGaP: Physically-Grounded Gaussians with Polarization Cues
Jiale Wu, Xiaoyang Bai, Zongqi He +2
Recent advances in 3D Gaussian Splatting (3DGS) have demonstrated great success in modeling reflective 3D objects and their interaction with the environment via deferred rendering…
SAP: Segment Any 4K Panorama
Lutao Jiang, Zidong Cao, Weikai Chen +14
Promptable instance segmentation is widely adopted in embodied and AR systems, yet the performance of foundation models trained on perspective imagery often degrades on 360° panora…