3 citations · 7 across the 8 of their papers we have counts for
8 papers
Personalized Cross-Modal Emotional Correlation Learning for Speech-Preserving Facial Expression Manipulation
Tianshui Chen, Yujie Zhu, Jianman Lin +4
Speech-preserving facial expression manipulation (SPFEM) aims to enhance human expressiveness without altering mouth movements tied to the original speech. A primary challenge in t…
Learning Spatial-Temporal Coherent Correlations for Speech-Preserving Facial Expression Manipulation
Tianshui Chen, Jianman Lin, Zhijing Yang +3
Speech-preserving facial expression manipulation (SPFEM) aims to modify facial emotions while meticulously maintaining the mouth animation associated with spoken content. Current w…
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-World Video Super-Resolution
Yexing Song, Meilin Wang, Zhijing Yang +2
The capability of video super-resolution (VSR) to synthesize high-resolution (HR) video from ideal datasets has been demonstrated in many works. However, applying the VSR model to…
Open-World Pose Transfer via Sequential Test-Time Adaption
Junyang Chen, Xiaoyu Xian, Zhijing Yang +5
Pose transfer aims to transfer a given person into a specified posture, has recently attracted considerable attention. A typical pose transfer framework usually employs representat…
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup
Zhijing Yang, Junyang Chen, Yukai Shi +3
Image Virtual try-on aims at replacing the cloth on a personal image with a garment image (in-shop clothes), which has attracted increasing attention from the multimedia and comput…
Criteria Comparative Learning for Real-scene Image Super-Resolution
Yukai Shi, Hao Li, Sen Zhang +2
Real-scene image super-resolution aims to restore real-world low-resolution images into their high-quality versions. A typical RealSR framework usually includes the optimization of…
Real-World Image Super-Resolution by Exclusionary Dual-Learning
Hao Li, Jinghui Qin, Zhijing Yang +4
Real-world image super-resolution is a practical image restoration problem that aims to obtain high-quality images from in-the-wild input, has recently received considerable attent…
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
Yawei Li, Kai Zhang, Radu Timofte +108
This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-reso…