text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)

Official implementation of AnimateDiff.

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

A unified framework for 3D content generation.

A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.

Instant neural graphics primitives: lightning fast NeRF and more

A PyTorch Library for Accelerating 3D Deep Learning Research

Taming Transformers for High-Resolution Image Synthesis

Learning to Estimate Hidden Motions with Global Motion Aggregation (ICCV 2021)

This repository contains implementations and illustrative code to accompany DeepMind publications

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

Point Transformers

OpenMMLab Detection Toolbox and Benchmark

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Code for Transformers Solve Limited Receptive Field for Monocular Depth Prediction

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

Efficient neural feature detector and descriptor

Neural-Guided RANSAC for Estimating Epipolar Geometry from Sparse Correspondences

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment

Some basic examples of playing with RL

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