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Temporally Consistent Video Colorization with Deep Feature Propagation and Self-regularization Learning
Yihao Liu, Hengyuan Zhao, Kelvin C. K. Chan +4
Video colorization is a challenging and highly ill-posed problem. Although recent years have witnessed remarkable progress in single image colorization, there is relatively less re…
Learn to Match: Automatic Matching Network Design for Visual Tracking
Zhipeng Zhang, Yihao Liu, Xiao Wang +2
Siamese tracking has achieved groundbreaking performance in recent years, where the essence is the efficient matching operator cross-correlation and its variants. Besides the remar…
Discovering Distinctive "Semantics" in Super-Resolution Networks
Yihao Liu, Anran Liu, Jinjin Gu +4
Image super-resolution (SR) is a representative low-level vision problem. Although deep SR networks have achieved extraordinary success, we are still unaware of their working mecha…
RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank
Wenlong Zhang, Yihao Liu, Chao Dong +1
Generative Adversarial Networks (GAN) have demonstrated the potential to recover realistic details for single image super-resolution (SISR). To further improve the visual quality o…
Blind Image Super-Resolution: A Survey and Beyond
Anran Liu, Yihao Liu, Jinjin Gu +2
Blind image super-resolution (SR), aiming to super-resolve low-resolution images with unknown degradation, has attracted increasing attention due to its significance in promoting r…
HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization
Xiangyu Chen, Yihao Liu, Zhengwen Zhang +2
Most consumer-grade digital cameras can only capture a limited range of luminance in real-world scenes due to sensor constraints. Besides, noise and quantization errors are often i…
Color2Embed: Fast Exemplar-Based Image Colorization using Color Embeddings
Hengyuan Zhao, Wenhao Wu, Yihao Liu +1
In this paper, we present a fast exemplar-based image colorization approach using color embeddings named Color2Embed. Generally, due to the difficulty of obtaining input and ground…
Very Lightweight Photo Retouching Network with Conditional Sequential Modulation
Yihao Liu, Jingwen He, Xiangyu Chen +4
Photo retouching aims at improving the aesthetic visual quality of images that suffer from photographic defects, especially for poor contrast, over/under exposure, and inharmonious…
Information-based Disentangled Representation Learning for Unsupervised MR Harmonization
Lianrui Zuo, Blake E. Dewey, Aaron Carass +4
Accuracy and consistency are two key factors in computer-assisted magnetic resonance (MR) image analysis. However, contrast variation from site to site caused by lack of standardiz…