activity
20202023
most citedBlind Image Super-Resolution via Contrastive Representation Learning

34 citations · 147 across the 24 of their papers we have counts for

collaborators
Showing 2022Show all

9 papers · 1 filter

cs.CV2022★ 3 cited

Latent Multi-Relation Reasoning for GAN-Prior based Image Super-Resolution

Jiahui Zhang, Fangneng Zhan, Yingchen Yu +3

Recently, single image super-resolution (SR) under large scaling factors has witnessed impressive progress by introducing pre-trained generative adversarial networks (GANs) as prio…

cs.CV2022★ 2 cited

Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors

Gongjie Zhang, Zhipeng Luo, Zichen Tian +3

Multi-scale features have been proven highly effective for object detection but often come with huge and even prohibitive extra computation costs, especially for the recent Transfo…

cs.CV2022

Auto-regressive Image Synthesis with Integrated Quantization

Fangneng Zhan, Yingchen Yu, Rongliang Wu +4

Deep generative models have achieved conspicuous progress in realistic image synthesis with multifarious conditional inputs, while generating diverse yet high-fidelity images remai…

cs.CV2022

Towards Counterfactual Image Manipulation via CLIP

Yingchen Yu, Fangneng Zhan, Rongliang Wu +6

Leveraging StyleGAN's expressivity and its disentangled latent codes, existing methods can achieve realistic editing of different visual attributes such as age and gender of facial…

cs.CV2022★ 5 cited

Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion

Gongjie Zhang, Zhipeng Luo, Jiaxing Huang +2

The recently proposed DEtection TRansformer (DETR) has established a fully end-to-end paradigm for object detection. However, DETR suffers from slow training convergence, which hin…

cs.CV2022

VMRF: View Matching Neural Radiance Fields

Jiahui Zhang, Fangneng Zhan, Rongliang Wu +5

Neural Radiance Fields (NeRF) have demonstrated very impressive performance in novel view synthesis via implicitly modelling 3D representations from multi-view 2D images. However,…

cs.CV2022★ 2 cited

Marginal Contrastive Correspondence for Guided Image Generation

Fangneng Zhan, Yingchen Yu, Rongliang Wu +3

Exemplar-based image translation establishes dense correspondences between a conditional input and an exemplar (from two different domains) for leveraging detailed exemplar styles…

cs.CV2022★ 1 cited

Modulated Contrast for Versatile Image Synthesis

Fangneng Zhan, Jiahui Zhang, Yingchen Yu +2

Perceiving the similarity between images has been a long-standing and fundamental problem underlying various visual generation tasks. Predominant approaches measure the inter-image…

cs.CV2022★ 1 cited

Accelerating DETR Convergence via Semantic-Aligned Matching

Gongjie Zhang, Zhipeng Luo, Yingchen Yu +2

The recently developed DEtection TRansformer (DETR) establishes a new object detection paradigm by eliminating a series of hand-crafted components. However, DETR suffers from extre…