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Pytorch tutorials for Neural Style transfert
The main features of alexis-jacq/pytorch-tutorials are: Computer Vision, Generative Models, Model Implementations, Style Transfer.
Projects with overlapping indexed features include: darkstar112358/fast-neural-style — pytorch implementation of fast-neural-style. zhanghang1989/pytorch-style-transfer — Neural Style and MSG-Net. truskovskiyk/nima.pytorch — NIMA: Neural IMage Assessment. nvidia/pix2pixhd — pix2pixHD is a conditional generative adversarial network designed to transform semantic label maps into… bengxy/fastneuralstyle — Fast Neural Style for Image Style Transform by Pytorch. blade6570/photographicimagesynthesiswithcascadedrefinementnetworks-pytorch — Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation.
pytorch implementation of fast-neural-style
pix2pixHD is a conditional generative adversarial network designed to transform semantic label maps into high-resolution photorealistic images. It functions as a high-resolution image synthesizer and an image-to-image translation model capable of producing synthetic images at 2048x1024 resolution. The system includes a semantic image editor that allows for the modification of high-resolution visuals by updating the underlying semantic label maps. This enables interactive image editing and the generation of photorealistic images based on source images or discrete label maps. The framework pro
Fast Neural Style for Image Style Transform by Pytorch
