Suke0

autolabel

Label, clean and enrich text datasets with LLMs.

awesome-neural-rendering

A collection of resources on neural rendering.

CogVLM

a state-of-the-art-level open visual language model | 多模态预训练模型

consistency_models

Official repo for consistency models.

ControlNet

Let us control diffusion models!

ELITE

Official Implementation of "ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation"

ETDS

ETDS: Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution (CVPR 2023)

grok-1

Grok open release

Harmonizer

High-Resolution Image/Video Harmonization [ECCV 2022]

Image-Adaptive-3DLUT

Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

MaskDINO

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

Matcher

Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

MixtralKit

A toolkit for inference and evaluation of 'mixtral-8x7b-32kseqlen' from Mistral AI

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

nerfstudio

A collaboration friendly studio for NeRFs

NeRO

[SIGGRAPH2023] NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images

pfgmpp

Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"

PGCU

[CVPR'23] Probability-based Global Cross-modal Upsampling for Pansharpening

playground

A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.

Poisson_flow

Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

prismatic-vlms

A flexible and efficient codebase for training visually-conditioned language models (VLMs)

sat_nerf

sdfstudio

A Unified Framework for Surface Reconstruction

stable-diffusion

A latent text-to-image diffusion model

stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

SuGaR

Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

TensorRT

NVIDIA® TensorRT™, an SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications.

TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

textual_inversion

Vitron

A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing