64 citations · 153 across the 13 of their papers we have counts for
13 papers
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution
Ruofan Zhang, Jinjin Gu, Haoyu Chen +3
Super-resolution (SR) techniques designed for real-world applications commonly encounter two primary challenges: generalization performance and restoration accuracy. We demonstrate…
Learning a Deep Color Difference Metric for Photographic Images
Haoyu Chen, Zhihua Wang, Yang Yang +2
Most well-established and widely used color difference (CD) metrics are handcrafted and subject-calibrated against uniformly colored patches, which do not generalize well to photog…
Masked Image Training for Generalizable Deep Image Denoising
Haoyu Chen, Jinjin Gu, Yihao Liu +5
When capturing and storing images, devices inevitably introduce noise. Reducing this noise is a critical task called image denoising. Deep learning has become the de facto method f…
Hiding Images in Deep Probabilistic Models
Haoyu Chen, Linqi Song, Zhenxing Qian +2
Data hiding with deep neural networks (DNNs) has experienced impressive successes in recent years. A prevailing scheme is to train an autoencoder, consisting of an encoding network…
Geometry-Contrastive Transformer for Generalized 3D Pose Transfer
Haoyu Chen, Hao Tang, Zitong Yu +2
We present a customized 3D mesh Transformer model for the pose transfer task. As the 3D pose transfer essentially is a deformation procedure dependent on the given meshes, the intu…
AniFormer: Data-driven 3D Animation with Transformer
Haoyu Chen, Hao Tang, Nicu Sebe +1
We present a novel task, i.e., animating a target 3D object through the motion of a raw driving sequence. In previous works, extra auxiliary correlations between source and target…
Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer
Haoyu Chen, Hao Tang, Henglin Shi +3
With the strength of deep generative models, 3D pose transfer regains intensive research interests in recent years. Existing methods mainly rely on a variety of constraints to achi…
iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis
Xin Liu, Henglin Shi, Haoyu Chen +3
We introduce a new dataset for the emotional artificial intelligence research: identity-free video dataset for Micro-Gesture Understanding and Emotion analysis (iMiGUE). Different…
Attention in Attention Network for Image Super-Resolution
Haoyu Chen, Jinjin Gu, Zhi Zhang
Convolutional neural networks have allowed remarkable advances in single image super-resolution (SISR) over the last decade. Among recent advances in SISR, attention mechanisms are…
Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric
Jinjin Gu, Haoming Cai, Haoyu Chen +3
Image quality assessment (IQA) is the key factor for the fast development of image restoration (IR) algorithms. The most recent perceptual IR algorithms based on generative adversa…
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
Dario Fuoli, Zhiwu Huang, Shuhang Gu +23
This paper reviews the video extreme super-resolution challenge associated with the AIM 2020 workshop at ECCV 2020. Common scaling factors for learned video super-resolution (VSR)…
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
Jinjin Gu, Haoming Cai, Haoyu Chen +3
Image quality assessment (IQA) is the key factor for the fast development of image restoration (IR) algorithms. The most recent IR methods based on Generative Adversarial Networks…
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching
Wei Peng, Xiaopeng Hong, Haoyu Chen +1
Human action recognition from skeleton data, fueled by the Graph Convolutional Network (GCN), has attracted lots of attention, due to its powerful capability of modeling non-Euclid…