The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Collect some World Models for Autonomous Driving papers.

Official codes of VEnhancer: Generative Space-Time Enhancement for Video Generation

Hybrid ML + physics model of the Earth's atmosphere

A comprehesive survey about foundation models for weather and cliamte data understanding.

Unifying Image Processing as Visual Prompting Question Answering

ai-models-fengwu is an ai-models plugin to run OpenEarthLab's FengWu.

[TPAMI2023] Evaluating the Generalization Ability of Super-Resolution Networks

ECCV2024：A Comparative Study of Image Restoration Networks for General Backbone Network Design

VMamba: Visual State Space Models，code is based on mamba

The official code for paper "TMP: Temporal Motion Propagation for Online Video Super-Resolution"

PhotoMaker [CVPR 2024]

[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

[CVPR 2024] SinSR: Diffusion-Based Image Super-Resolution in a Single Step

QLoRA: Efficient Finetuning of Quantized LLMs

[NeurIPS 2022]RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling

A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.

Curated list of awesome resources for the Stable Diffusion AI Model.

Official codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Codes for CVPR2023 paper "DegAE: A New Pretraining Paradigm for Low-level Vision"

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

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.

From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution (ECCV 2022)