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The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Generative Models by Stability AI
State-of-the-art 2D and 3D Face Analysis Project
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Geometric Computer Vision Library for Spatial AI
A collaboration friendly studio for NeRFs
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Single Image to 3D using Cross-Domain Diffusion for 3D Generation
A PyTorch Library for Accelerating 3D Deep Learning Research
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
FFCV: Fast Forward Computer Vision (and other ML workloads!)
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
A Unified Framework for Surface Reconstruction
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/
[ICCV2023] Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement
[NeurIPS'21] Projected GANs Converge Faster
Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.
Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)