Aug 4, 2022 · Title:Latent Multi-Relation Reasoning for GAN-Prior based Image Super-Resolution ; Subjects: Computer Vision and Pattern Recognition (cs.CV).
LAREN is a LAtent multi-Relation rEasoNing technique that achieves superb large-factor SR through graph-based multi-relation reasoning in latent space and ...
We design LAREN, a LAtent multi-Relation rEasoNing technique that achieves superb large-factor SR through graph-based multi-relation reasoning in latent space.
Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.
Latent Multi-Relation Reasoning for GAN-Prior based Image Super-Resolution · no code implementations • 4 Aug 2022 • Jiahui Zhang, Fangneng Zhan, Yingchen Yu ...
Latent Multi-Relation Reasoning for GAN-Prior based Image Super-Resolution ... Blind Image Super-Resolution via Contrastive Representation Learning · no code ...
最近，在大型缩放因素下，单图像超分辨率（SR）通过将预训练的生成对抗网络（GAN）作为先验，见证了令人印象深刻的进步。但是，大多数基于GAN的SR方法受到倒置潜在代码 ...
People also ask
What is super image resolution using GAN?
What is latent variable in GAN?
What is the latent space size of GAN?
What is GAN in image processing?
Jul 20, 2020 · To learn image super-resolution, use a gan to learn how to do image degradation first. In Proceed- ings of the European Conference on ...
Experimental results validate that the proposed VarSR, Variational Super Resolution Network, can produce more accurate and perceptually plausible SR images ...
Recent approaches investigate the use of generative priors, such as the Generative Adversarial Network (GAN) priors [14, 15] , to help generate realistic ...