6 papers · 1 filter
GenOpticalFlow: A Generative Approach to Unsupervised Optical Flow Learning
Yixuan Luo, Feng Qiao, Zhexiao Xiong +2
Optical flow estimation is a fundamental problem in computer vision, yet the reliance on expensive ground-truth annotations limits the scalability of supervised approaches. Althoug…
PhysAlign: Physics-Coherent Image-to-Video Generation through Feature and 3D Representation Alignment
Zhexiao Xiong, Yizhi Song, Liu He +4
Video Diffusion Models (VDMs) offer a promising approach for simulating dynamic scenes and environments, with broad applications in robotics and media generation. However, existing…
PanoDreamer: Consistent Text to 360-Degree Scene Generation
Zhexiao Xiong, Zhang Chen, Zhong Li +2
Automatically generating a complete 3D scene from a text description, a reference image, or both has significant applications in fields like virtual reality and gaming. However, cu…
DeclutterNeRF: Generative-Free 3D Scene Recovery for Occlusion Removal
Wanzhou Liu, Zhexiao Xiong, Xinyu Li +1
Recent novel view synthesis (NVS) techniques, including Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have greatly advanced 3D scene reconstruction with high-quali…
Towards Open-World Generation of Stereo Images and Unsupervised Matching
Feng Qiao, Zhexiao Xiong, Eric Xing +1
Stereo images are fundamental to numerous applications, including extended reality (XR) devices, autonomous driving, and robotics. Unfortunately, acquiring high-quality stereo imag…
GroundingBooth: Grounding Text-to-Image Customization
Zhexiao Xiong, Wei Xiong, Jing Shi +3
Recent approaches in text-to-image customization have primarily focused on preserving the identity of the input subject, but often fail to control the spatial location and size of…