activity
20242026
collaborators

11 papers

cs.CV2026

Track2View: 4D-Consistent Camera-Controlled Video Generation via Paired 3D Point Tracks

Feng Qiao, Zhaochong An, Zhexiao Xiong +2

Re-rendering an existing video from a novel camera viewpoint requires the output to follow the prescribed camera trajectory while preserving the appearance and dynamics of the orig…

cs.CV2026

StereoGenBench: A Synthetic Multi-Camera Benchmark for Stereo Generation under Controlled Baseline Regimes

Yangzhi Cui, Feng Qiao, Nathan Jacobs

Stereo image and video generation, stereo geometry estimation, and condition-controlled view synthesis require paired data in which the variables that determine binocular geometry…

cs.CV2026

deadtrees.earth-aerial: A Multi-Resolution Aerial Image Dataset for Tree Cover and Mortality Detection

Ayushi Sharma, Clemens Mosig, Lukas Drees +9

Forests worldwide are increasingly threatened by climate change and disturbances such as fire, pests, and pathogens, creating a need for scalable monitoring of tree cover and tree…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

TerraDiT: Point-Conditioned Diffusion Transformer for Satellite Image Synthesis

Srikumar Sastry, Dan Cher, Brian Wei +4

We introduce TerraDiT, a diffusion transformer designed for text-to-satellite image generation with point-based control. Existing controlled satellite image generative models often…

cs.CV2026

UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving

Zhexiao Xiong, Xin Ye, Burhan Yaman +5

World models have become central to autonomous driving, where accurate scene understanding and future prediction are crucial for safe control. Recent work has explored using vision…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…