memoiry

Guodong Xu's starred repositories

MobileVLM

Strong and Open Vision Language Assistant for Mobile Devices

Language:PythonApache-2.082200

fast-DiT

Fast Diffusion Models with Transformers

Language:PythonNOASSERTION56900

DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Language:PythonNOASSERTION529300

minbpe

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

Language:PythonMIT836000

LLaMA-VID

Official Implementation for LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models

Language:PythonApache-2.059900

UniHOI

Code for the paper "Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models"

2200

PGDiff

[NeurIPS 2023] PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance

Language:PythonNOASSERTION12000

StableSR

Exploiting Diffusion Prior for Real-World Image Super-Resolution

Language:PythonNOASSERTION188300

ProPainter

[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting

Language:PythonNOASSERTION473400

daclip-uir

[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.

Language:PythonMIT55900

Awesome-Open-Vocabulary

(TPAMI 2024) A Survey on Open Vocabulary Learning

69300

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

Language:PythonNOASSERTION3525800

sd-dino

Official Implementation of paper "A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence"

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xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

Language:PythonNOASSERTION775200

segment-anything

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.

Language:Jupyter NotebookApache-2.04462900