36 citations · 46 across the 8 of their papers we have counts for
9 papers
Zero-Shot Video Restoration and Enhancement with Text-to-Image Latent Diffusion Models and Multi-Modal References
Cong Cao, Huanjing Yue, Xin Liu +1
Zero-shot image restoration methods with text-to-image latent diffusion models have achieved great success in universal image restoration tasks without training. However, applying…
SpiralDiff: Spiral Diffusion with LoRA for RGB-to-RAW Conversion Across Cameras
Huanjing Yue, Shangbin Xie, Cong Cao +4
RAW images preserve superior fidelity and rich scene information compared to RGB, making them essential for tasks in challenging imaging conditions. To alleviate the high cost of d…
Zero-Shot Video Restoration and Enhancement with Assistance of Video Diffusion Models
Cong Cao, Huanjing Yue, Shangbin Xie +2
Although diffusion-based zero-shot image restoration and enhancement methods have achieved great success, applying them to video restoration or enhancement will lead to severe temp…
Zero-Shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model
Cong Cao, Huanjing Yue, Xin Liu +1
Diffusion-based zero-shot image restoration and enhancement models have achieved great success in various tasks of image restoration and enhancement. However, directly applying the…
RViDeformer: Efficient Raw Video Denoising Transformer with a Larger Benchmark Dataset
Huanjing Yue, Cong Cao, Lei Liao +1
In recent years, raw video denoising has garnered increased attention due to the consistency with the imaging process and well-studied noise modeling in the raw domain. However, tw…
Unsupervised HDR Image and Video Tone Mapping via Contrastive Learning
Cong Cao, Huanjing Yue, Xin Liu +1
Capturing high dynamic range (HDR) images (videos) is attractive because it can reveal the details in both dark and bright regions. Since the mainstream screens only support low dy…
Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic Segmentation
Cong Cao, Tianwei Lin, Dongliang He +4
A common challenge posed to robust semantic segmentation is the expensive data annotation cost. Existing semi-supervised solutions show great potential for solving this problem. Th…
Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes
Huanjing Yue, Cong Cao, Lei Liao +2
In recent years, the supervised learning strategy for real noisy image denoising has been emerging and has achieved promising results. In contrast, realistic noise removal for raw…
UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments
Ye Yuan, Wenhan Yang, Wenqi Ren +3
The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…