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Guangrun Wang (王广润)'s Projects

geodiff icon geodiff

Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).

gpt-4v-act icon gpt-4v-act

AI agent using GPT-4V(ision) capable of using a mouse/keyboard to interact with web UI

grounded-segment-anything icon grounded-segment-anything

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

humannerf icon humannerf

HumanNeRF turns a monocular video of moving people into a 360 free-viewpoint video.

ibot icon ibot

iBOT: Image BERT Pre-Training with Online Tokenizer [ICLR2022]

idm-vton icon idm-vton

IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild

idw-cnn-v2 icon idw-cnn-v2

Code of "Learning object interactions and descriptions for semantic image segmentation"

inpaint-anything icon inpaint-anything

Inpaint Anything performs stable diffusion inpainting on a browser UI using masks from Segment Anything.

ip-adapter icon ip-adapter

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

jem-backup icon jem-backup

Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

kalman-normalization icon kalman-normalization

Code of "Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches"

ladi-vton icon ladi-vton

This is the official repository for the paper "LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On".

lambda-networks icon lambda-networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

llama icon llama

Inference code for LLaMA models

llama-adapter icon llama-adapter

Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

mae icon mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mage icon mage

A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

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