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Starred repositories
[ICCV 2023] SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable an…
[CVPR'24 Highlight] Official PyTorch implementation of CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
A collaboration friendly studio for NeRFs
更新2008年版本的《上海交通大学生存手册》gitbook发布于https://survivesjtu.gitbook.io/survivesjtumanual/
哔哩哔哩-API收集整理【不断更新中....】
NVIDIA's Deep Imagination Team's PyTorch Library
机器学习/深度学习/Python/Go语言面试题笔试题(Machine learning Deep Learning Python and Golang Interview Questions)
A Collection of Papers and Codes for CVPR2025/CVPR2024/CVPR2021/CVPR2020 Low Level Vision
Code for our CVPR 2021 paper "MetaCam+DSCE"
Official code of PatchmatchNet (CVPR 2021 Oral)
A Collection of Variational Autoencoders (VAE) in PyTorch.
Code accompanying the paper "Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas".
DepthContrast self-supervised learning for 3D
PyTorch implementation of the ECCV 2020 paper "Gabor Layers Enhance Network Robustness".
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
AD-Census立体匹配算法，中国学者Xing Mei等人研究成果（Respect！），算法效率高、效果出色，适合硬件加速，Intel RealSense D400 Stereo模块算法。完整实现，代码规范，注释清晰，欢迎star！
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
valgur / surface-normal
Forked from JiaxiongQ/surface-normalDepth to normals preprocessing tool with Python and CUDA support for CVPR2019 paper 1899: DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single …
[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Code for Mesh Convolution Using a Learned Kernel Basis
chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.