Stars
🧮 A collection of resources to learn mathematics for machine learning
This is the official repository for the paper "Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On". CVPR 2024
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
T3Bench: Benchmarking Current Progress in Text-to-3D Generation
Blender Python scripts for rendering images directly from command-line interface
Official Pytorch Implementation of Our CVPR2023 Paper: "Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization"
A playbook for systematically maximizing the performance of deep learning models.
Implementation of GigaGAN: Scaling up GANs for Text-to-Image Synthesis
Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)
Interactively find and recover deleted or 👉 overwritten 👈 files from your terminal
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
Non-destructive, node based 2D image editor with an API for custom nodes
Sketch2Pose: Estimating a 3D Character Pose from a Bitmap Sketch
High Resolution Depth Maps for Stable Diffusion WebUI
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
A large-scale high-quality human dataset with rich multi-modal annotations
Officially unofficial PyTorch re-implementation of paper: AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer, ICCV 2021.
A collection of resources and papers on Diffusion Models
A latent text-to-image diffusion model
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021)
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"