google / diffsegLinks
DiffSeg is an unsupervised zero-shot segmentation method using attention information from a stable-diffusion model. This repo implements the main DiffSeg algorithm and additionally includes an experimental feature to add semantic labels to the masks based on a generated caption.
☆323Updated last year
Alternatives and similar repositories for diffseg
Users that are interested in diffseg are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] Code release for "Segment Anything without Supervision"☆485Updated last month
- [CVPR 2024] Code release for "Unsupervised Universal Image Segmentation"☆221Updated last year
- This is the official code release for our work, Denoising Vision Transformers.☆381Updated 11 months ago
- Official implementation of 'CLIP-DINOiser: Teaching CLIP a few DINO tricks' paper.☆261Updated 11 months ago
- 1-shot image segmentation using Stable Diffusion☆141Updated last year
- RobustSAM: Segment Anything Robustly on Degraded Images (CVPR 2024 Highlight)☆361Updated last year
- [ECCV'24] Official Implementation of SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance☆141Updated 4 months ago
- Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders☆121Updated 6 months ago
- Open source implementation of "Vision Transformers Need Registers"☆194Updated this week
- Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.☆195Updated 2 years ago
- [ECCV 2024] Official Repository for DiffiT: Diffusion Vision Transformers for Image Generation☆501Updated 11 months ago
- SimpleClick: Interactive Image Segmentation with Simple Vision Transformers (ICCV 2023)☆245Updated 2 months ago
- [ICLR 2025] SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement☆71Updated 6 months ago
- This is Pytorch Implementation Code for adding new features in code of Segment-Anything. Here, the features support batch-input on the fu…☆162Updated last year
- [NeurIPS2023] Code release for "Hierarchical Open-vocabulary Universal Image Segmentation"☆291Updated 4 months ago
- A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting [ECCV 2024]☆98Updated last year
- [NeurIPS 2024] Official code for DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut☆45Updated 9 months ago
- [NeurIPS 2024] SlimSAM: 0.1% Data Makes Segment Anything Slim☆343Updated 3 weeks ago
- Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation (NeurIPS2023)☆126Updated last year
- SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process☆198Updated last year
- [CVPR 2023] Official repository of Generative Semantic Segmentation☆220Updated 2 years ago
- A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)☆338Updated 7 months ago
- Learning from synthetic data - code and models☆323Updated last year
- This is an implementation of zero-shot instance segmentation using Segment Anything.☆314Updated 2 years ago
- ☆60Updated 2 years ago
- Pytorch reimplementation of Decoder Denoising Pretraining for Semantic Segmentation☆51Updated 2 years ago
- Segment Anything combined with CLIP☆347Updated last year
- Official code of "EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model"☆476Updated 7 months ago
- Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]☆928Updated last year
- ConceptAttention: A method for interpreting multi-modal diffusion transformers.☆338Updated 6 months ago