Ashish Patel 🇮🇳’s Post

𝗗𝗮𝘆-𝟭𝟯𝟭 Computer Vision Learning Learning 3D Appearance Super-Resolution with Deep Learning by Computer Vision and Geometry Group, ETH Zürich, Switzerland, Microsoft , USA Follow me for similar post :  🇮🇳 Ashish Patel Interesting Facts : 🔸 This is a paper in CVPR 2019 with over 14 citations. 🔸 It Outperforms with HRST-CNN,EDSR, EDSR-FT,Lanczos etc. ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/dNcVEN6 Code : https://lnkd.in/d33tCND ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸Paper provided 3DASR, a 3D appearance SR dataset 1 that captures both synthetic and real scenes with a large variety of texture characteristics. It is based on four datasets, ETH3D, Collection, MiddleBury, and SyB3R. The dataset contains ground truth HR texture maps and LR texture maps of scaling factors × 2, × 3, and × 4 The 3D mesh, multi-view images, projection matrices, and normal maps are also provided. 🔸Paper introduced a deep learning-based SR framework in the multi-view setting.  #computervision #artificialintelligence #data