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The open-source tool for building high-quality datasets and computer vision models
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
📔 An Unofficial Thesis Template in LaTeX for Huazhong University of Science and Technology
Simple reproduced version of Light Field Depth Estimation with Structure Tensor on EPI (estimate depth very fast)
An unofficial implementation of a supervised novel view synthesis method.
Learning-Based View Synthesis for Light Field Cameras - Pytorch
light field camera view synthesis with gan method
本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
用例子学习PyTorch1.0（Learning PyTorch with Examples 中文翻译与学习）
Code repository for "Free View Synthesis", ECCV 2020.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Collecting papers about new view synthesis
Image Deblurring using Generative Adversarial Networks
Single-shot autofocus on microscopes using deep learning
DeepFocus: Learned Image Synthesis for Computational Displays
A curated list of resources for Image and Video Deblurring
Dataset for Natural Focus Blurr Assessment in Digital Pathology
Microscopically accurate volumetric digital photography without dedicated hardware.
Conventional Depth from Focus(DfF) estimation with slight focus variations in image sequences
Deep neural network to reconstruct Confocal 3D stacks from Light Field Microscopy images.
A series of images of a static scene focused at multiple planes are merged to form a single all-in-focus image