6 papers · 1 filter
Bridging Event Streams and DiT: Event-Guided Video Frame Interpolation
Guixu Lin, Yuyang Yu, Xiang Ji +6
Latent diffusion models have recently advanced video frame interpolation by synthesizing intermediate frames between input images. However, handling large temporal gaps and complex…
Moment-Reenacting: Inverse Motion Degradation with Cross-shutter Guidance
Xiang Ji, Guixu Lin, Zhengwei Yin +2
Motion degradation, manifested as blur in global shutter (GS) images or rolling shutter (RS) distortion in RS counterparts, remains a fundamental challenge in computational imaging…
Tree-NeRV: A Tree-Structured Neural Representation for Efficient Non-Uniform Video Encoding
Jiancheng Zhao, Yifan Zhan, Qingtian Zhu +5
Implicit Neural Representations for Videos (NeRV) have emerged as a powerful paradigm for video representation, enabling direct mappings from frame indices to video frames. However…
All-in-One Transferring Image Compression from Human Perception to Multi-Machine Perception
Jiancheng Zhao, Xiang Ji, Yinqiang Zheng
Efficiently transferring Learned Image Compression (LIC) model from human perception to machine perception is an emerging challenge in vision-centric representation learning. Exist…
RS-NeRF: Neural Radiance Fields from Rolling Shutter Images
Muyao Niu, Tong Chen, Yifan Zhan +3
Neural Radiance Fields (NeRFs) have become increasingly popular because of their impressive ability for novel view synthesis. However, their effectiveness is hindered by the Rollin…
Motion Blur Decomposition with Cross-shutter Guidance
Xiang Ji, Haiyang Jiang, Yinqiang Zheng
Motion blur is a frequently observed image artifact, especially under insufficient illumination where exposure time has to be prolonged so as to collect more photons for a bright e…