1 citations · 3 across the 5 of their papers we have counts for
6 papers
Ring Forcing: Towards Precise Long-Term Memory for Autoregressive Video Diffusion
Bowen Xue, Brandon Y. Feng, Chenguo Lin +6
Scaling video generation to long durations reveals a critical bottleneck: current models lack robust long-term memory. This deficiency can be studied along two critical aspects: ob…
Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation
Jingxi Chen, Brandon Y. Feng, Haoming Cai +6
Video Frame Interpolation aims to recover realistic missing frames between observed frames, generating a high-frame-rate video from a low-frame-rate video. However, without additio…
WaveMo: Learning Wavefront Modulations to See Through Scattering
Mingyang Xie, Haiyun Guo, Brandon Y. Feng +3
Imaging through scattering media is a fundamental and pervasive challenge in fields ranging from medical diagnostics to astronomy. A promising strategy to overcome this challenge i…
TimeRewind: Rewinding Time with Image-and-Events Video Diffusion
Jingxi Chen, Brandon Y. Feng, Haoming Cai +4
This paper addresses the novel challenge of ``rewinding'' time from a single captured image to recover the fleeting moments missed just before the shutter button is pressed. This p…
ConVRT: Consistent Video Restoration Through Turbulence with Test-time Optimization of Neural Video Representations
Haoming Cai, Jingxi Chen, Brandon Y. Feng +5
tmospheric turbulence presents a significant challenge in long-range imaging. Current restoration algorithms often struggle with temporal inconsistency, as well as limited generali…
FPM-INR: Fourier ptychographic microscopy image stack reconstruction using implicit neural representations
Haowen Zhou, Brandon Y. Feng, Haiyun Guo +4
Image stacks provide invaluable 3D information in various biological and pathological imaging applications. Fourier ptychographic microscopy (FPM) enables reconstructing high-resol…