A latent text-to-image diffusion model

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Google Research

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Kolmogorov Arnold Networks

This repository contains the source code for the paper First Order Motion Model for Image Animation

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

High-Resolution Image Synthesis with Latent Diffusion Models

Multi-Joint dynamics with Contact. A general purpose physics simulator.

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Using Low-rank adaptation to quickly fine-tune diffusion models.

Inpaint anything using Segment Anything and inpainting models.

[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

CLIPort: What and Where Pathways for Robotic Manipulation

Suite of human-collected datasets and a multi-task continuous control benchmark for open vocabulary visuolinguomotor learning.

To convert atlas texuture (defined in Densepose) to normal texture (defined in SMPL), and vice versa.

Data collection part for ARCap