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2d-gaussian-splatting

A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

any-d.github.io

automatic-watermark-detection

Project for Digital Image Processing

awesome-3d-gaussian-splatting

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.

awesome-text-to-video

A Survey on Text-to-Video Generation/Synthesis.

awesome-video-diffusion

A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.

cifar-10-images

CIFAR-10 raw jpeg images

clean-torch-nerfs

Clean NeRFs Reproduction using Tiny Lego

cnn-benchmarks

Benchmarks for popular CNN models

cnn-watermark-removal

Fully convolutional deep neural network to remove transparent overlays from images

comfyui

The most powerful and modular stable diffusion GUI with a graph/nodes interface.

deepface

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

deeplearning-models

A collection of various deep learning architectures, models, and tips

depth-anything

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

dfdc_deepfake_challenge

A prize winning solution for DFDC challenge

diffusion

Denoising Diffusion Probabilistic Models

diffusion-models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

diffusion-models-tutorial

Experiment with diffusion models that you can run on your local jupyter instances

diffusion-probabilistic-models

Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

efficient-ai-backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

emscore

Research code for CVPR 2022 paper: "EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching"

evalcrafter

EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

evalcrafter2

EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

factor

Detecting Deepfakes Without Seeing Any

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

gaussian-splatting-colab

generative-models

Generative Models by Stability AI

hrs_benchmark

imagenet-sample-images

1000 images, one per image-net class. For easy visualization/exploration of classes.