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2dasl

The code (pytorch for testing & matlab for 3D plot and evaluation) for our project: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning （2DASL）

3d-ken-burns

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

3ddfa

The pytorch improved re-implementation of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

adabins

Official implementation of Adabins: Depth Estimation using adaptive bins

adelaidepth

This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.

ai-research-tools

:hammer:AI 方向好用的科研工具

alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

bosonic

Library for fast computations involving indistinguishable bosons

bts-pytorch

PyTorch implementation of BTS Depth Estimator

c-3-framework

An open-source PyTorch code for crowd counting

chatpaper

Use ChatGPT to summarize the arXiv papers.

coding-interview-university

A complete computer science study plan to become a software engineer.

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

cs131_notes

Class notes for CS 131.

cvpr2019

cvpr2019／cvpr2018/cvpr2019 papers，极市团队整理

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

d3net_depth_estimation

Dense Deep Depth Estimation Network (D3-Net) in PyTorch.

dailynotes

data-science--cheat-sheet

Cheat Sheets

ddae

[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"

deep-head-pose

:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

deep-high-resolution-net.pytorch

The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

deeplearning-500-questions

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，近30万字。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[email protected] 版权所有，违权必究 Tan 2018.06

deepoptical

deep optical with deep learning

deepoptics

deepstorm3d

DeepSTORM3D implemented in Pytorch

deepv2d