ICCV19: Oral Session 2.1B - Low Level Vision - YouTube

Follow along using the transcript. Follow along using the transcript. New New New New New New New Hello. Please select your native language:

Link to indexed video: https://conftube.com/video/HwMWViC08Zc 1. Wavelet Domain Style Transfer for an Effective Perception-Distortion Tradeoff in Single Image Super-Resolution Xin Deng, Ren Yang, Mai Xu, Pier Luigi Dragotti https://conftube.com/video/HwMWViC08Z... 2. Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model Jianrui Cai, Hui Zeng, Hongwei Yong, Zisheng Cao, Lei Zhang https://conftube.com/video/HwMWViC08Z... 3. RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao…

saved by

• Osher Lerner

related reading

• [1603.08155] Perceptual Losses for Real-Time Style Transfer and Super-Resolutionarxiv.org
• Yang Songyang-song.net
• Feature-wise transformationsdistill.pub
• Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy imagesproceedings.neurips.cc
• [2605.05331] ViTok-v2: Scaling Native Resolution Auto-Encoders to 5 Billion Parametersarxiv.org
• Wavelet transform - Wikipediaen.wikipedia.org
• [2007.13640] Solving Linear Inverse Problems Using the Prior Implicit in a Denoiserarxiv.org
• 1703.10593arxiv.org
• Unsupervised Learning with SURE.pdfarxiv.org
• ⭐️ Diffusion Modelsandrewkchan.dev
• [2203.09795] Three things everyone should know about Vision Transformersarxiv.org
• Incorporating the image formation process into deep learning improves network performancenature.com