CV
A collaboration friendly studio for NeRFs
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Instant neural graphics primitives: lightning fast NeRF and more
Code release for NeRF (Neural Radiance Fields)
Minimal PyTorch implementations of NeRF and pixelNeRF.
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
CUDA accelerated rasterization of gaussian splatting
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[CVPR 2024] Code for SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
CoTracker is a model for tracking any point (pixel) on a video.
Metric depth estimation from a single image
[CVPR 2024 Highlight] Official PyTorch implementation of SpatialTracker: Tracking Any 2D Pixels in 3D Space
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
Dense matching library based on PyTorch
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
[ECCV'2024] Gaussian Grouping for open-world Anything reconstruction, segmentation and editing.
High-Resolution Image Synthesis with Latent Diffusion Models
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
[CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.
🌊 [ECCV'24 Oral] MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
A latent text-to-image diffusion model