Myzhao1999

stable-dreamfusion

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

anomalydiffusion

[AAAI 2024] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model

zero-shot-ad-via-batch-norm

Official code repository for paper Zero-Shot Anomaly Detection via Batch Normalization (NeurIPS 2023).

MaskCLIP

Official PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)

fc-clip

[NeurIPS 2023] This repo contains the code for our paper Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

SegCLIP

PyTorch implementation of ICML 2023 paper "SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation"

ov-seg

This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.

ZegCLIP

Official implement of CVPR2023 ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation

DenseCLIP

[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

InReaCh

RegAD

[ECCV2022 Oral] Registration based Few-Shot Anomaly Detection

LLaVA-UHD

LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

ImageBind

ImageBind One Embedding Space to Bind Them All

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

patchcore-inspection

patchcore-few-shot

Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"

PromptAD

Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection

PLLaVA

Official repository for the paper PLLaVA

MIC

MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU

MIC

MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU

Otter

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

Link-Context-Learning

ReContrast

DiffusionAD

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

MambaAD

Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.

Accurate-WinCLIP-pytorch

Accurate reimplementation of WinCLIP (pytorch version)

AnomalyDetection_Real-IAD

chameleon-llm

Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".