[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.

Project page of the paper "Learning general and distinctive 3D local deep descriptors for point cloud registration" published in IEEE T-PAMI

A curated list of point cloud registration.

[TPAMI 2020] Learning 3D Human Shape and Pose from Dense Body Parts

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment

Grounding Image Matching in 3D with MASt3R

DUSt3R: Geometric 3D Vision Made Easy

TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos

Deep Learning for 3D Human Pose Estimation and Mesh Recovery: A Survey

Codes for the CVPR 2024 paper: "KITRO: Refining Human Mesh by 2D Clues and Kinematic-tree Rotation"

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

深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch

Pytorch demo code and models for Multi-HMR

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery

DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

[ECCV 2024] DoubleTake: Geometry Guided Depth Estimation

Official repository of ActiveNeRF (ECCV2022)