Ashish Patel 🇮🇳’s Post

𝗗𝗮𝘆-𝟭𝟮𝟱 Computer Vision Learning 𝗠𝗲𝘁𝗮-𝗦𝗥: A Magnification-Arbitrary Network for Super-Resolution by University of Science and Technology of China, NLPR, CASIA, MEGVII旷视(Face++), and Tsinghua University Follow me for a similar post:  🇮🇳 Ashish Patel Interesting Facts : 🔸 This is a paper in CVPR 2019 with over 94 citations. 🔸 It Outperforms with RDN, EDSR, and Meta-EDSR, Meta-Bi etc ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/emSdVCs Code : https://lnkd.in/edgaAcw ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 The Residual Dense Block proposed by RDN.  🔸 The Feature Learning Module which generates the shared feature maps for arbitrary scale factor.  🔸 For each pixel on the SR image, It project it onto the LR image. 🔸 The proposed Meta-Upscale Module takes a sequence of coordinate-related and scale-related vectors as input to predict the weights for convolution filters.    #computervision #artificialintelligence #deeplearning #innovation