activity
20192024
most citedBlind Video Temporal Consistency via Deep Video Prior

14 citations · 49 across the 19 of their papers we have counts for

collaborators

19 papers

cs.CV2024

Adaptive Domain Learning for Cross-domain Image Denoising

Zian Qian, Chenyang Qi, Ka Lung Law +3

Different camera sensors have different noise patterns, and thus an image denoising model trained on one sensor often does not generalize well to a different sensor. One plausible…

cs.CV2024★ 1 cited

Automatic Controllable Colorization via Imagination

Xiaoyan Cong, Yue Wu, Qifeng Chen +1

We propose a framework for automatic colorization that allows for iterative editing and modifications. The core of our framework lies in an imagination module: by understanding the…

cs.CV2024

Robust Depth Enhancement via Polarization Prompt Fusion Tuning

Kei Ikemura, Yiming Huang, Felix Heide +3

Existing depth sensors are imperfect and may provide inaccurate depth values in challenging scenarios, such as in the presence of transparent or reflective objects. In this work, w…

physics.optics2023★ 2 cited

Thin On-Sensor Nanophotonic Array Cameras

Praneeth Chakravarthula, Jipeng Sun, Xiao Li +6

Today's commodity camera systems rely on compound optics to map light originating from the scene to positions on the sensor where it gets recorded as an image. To record images wit…

cs.CV2023★ 1 cited

Blind Video Deflickering by Neural Filtering with a Flawed Atlas

Chenyang Lei, Xuanchi Ren, Zhaoxiang Zhang +1

Many videos contain flickering artifacts. Common causes of flicker include video processing algorithms, video generation algorithms, and capturing videos under specific situations.…

cs.CV2023★ 10 cited

FateZero: Fusing Attentions for Zero-shot Text-based Video Editing

Chenyang Qi, Xiaodong Cun, Yong Zhang +4

The diffusion-based generative models have achieved remarkable success in text-based image generation. However, since it contains enormous randomness in generation progress, it is…