Changsheng Lu (卢长胜) (AlanLuSun)

AlanLuSun

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Company:The Australian National University

Home Page:https://AlanLuSun.github.io/

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Changsheng Lu (卢长胜)'s starred repositories

stable-diffusion

A latent text-to-image diffusion model

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:67622Issues:559Issues:710

llama

Inference code for Llama models

Language:PythonLicense:NOASSERTIONStargazers:55580Issues:519Issues:959

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Language:PythonLicense:MITStargazers:36327Issues:369Issues:315

MiniGPT-4

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

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pytorch_geometric

Graph Neural Network Library for PyTorch

Language:PythonLicense:MITStargazers:21012Issues:252Issues:3520

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Language:PythonLicense:MITStargazers:19891Issues:254Issues:72

Grounded-Segment-Anything

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:14811Issues:114Issues:385

first-order-model

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

Language:Jupyter NotebookLicense:MITStargazers:14460Issues:352Issues:531

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

Language:Jupyter NotebookLicense:MITStargazers:11527Issues:97Issues:342

Startup-CTO-Handbook

The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams

BLIP

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:4673Issues:34Issues:195

Transformer-MM-Explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

Language:Jupyter NotebookLicense:MITStargazers:776Issues:8Issues:35

STEGO

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Language:Jupyter NotebookLicense:MITStargazers:712Issues:14Issues:96

RegionCLIP

[CVPR 2022] Official code for "RegionCLIP: Region-based Language-Image Pretraining"

Language:PythonLicense:Apache-2.0Stargazers:696Issues:10Issues:99

dift

[NeurIPS'23] Emergent Correspondence from Image Diffusion

Language:PythonLicense:MITStargazers:590Issues:7Issues:25

dino-vit-features

Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".

Language:PythonLicense:MITStargazers:377Issues:4Issues:21

Moving-Least-Squares

Numpy & PyTorch implementation of three algorithms of image deformation using moving least squares. http://dl.acm.org/citation.cfm?doid=1179352.1141920

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CLIP-SAM

Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.

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PoseAnything

A Graph-Based Approach for Category-Agnostic Pose Estimation [ECCV 2024]

Language:PythonLicense:Apache-2.0Stargazers:304Issues:4Issues:10

OpenShape_code

official code of “OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding”

Language:PythonLicense:Apache-2.0Stargazers:232Issues:9Issues:32

Awesome-Multimodal-Prompts

Prompts of GPT-4V & DALL-E3 to full utilize the multi-modal ability. GPT4V Prompts, DALL-E3 Prompts.

License:Apache-2.0Stargazers:212Issues:2Issues:0

Pose-for-Everything

The official repo for ECCV'22 paper: Pose for Everything: Towards Category-Agnostic Pose Estimation

Language:PythonLicense:Apache-2.0Stargazers:196Issues:7Issues:20

G-LLaVA

Official github repo of G-LLaVA

CapeFormer

Official Implementation for "Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation", CVPR 2023.

Language:PythonLicense:Apache-2.0Stargazers:29Issues:1Issues:8

photo-sketch-correspondence

Official PyTorch implementation of Learning Dense Correspondences between Photos and Sketches, ICML 2023.

Language:PythonLicense:MITStargazers:24Issues:4Issues:3

Bi-Blip4CIR

The official implementation for BLIP4CIR with bi-directional training | Bi-directional Training for Composed Image Retrieval via Text Prompt Learning (WACV 2024)

Language:PythonLicense:MITStargazers:23Issues:3Issues:1

demistfy_correspondence

Code for the ECCV22 paper Demystifying Unsupervised Semantic Correspondence Estimation