ttengwang / Caption-Anything
Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences. https://huggingface.co/spaces/TencentARC/Caption-Anything https://huggingface.co/spaces/VIPLab/Caption-Anything
☆1,738Updated last year
Alternatives and similar repositories for Caption-Anything:
Users that are interested in Caption-Anything are comparing it to the libraries listed below
- Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).☆2,236Updated last year
- [Image 2 Text Para] Transform Image into Unique Paragraph with ChatGPT, BLIP2, OFA, GRIT, Segment Anything, ControlNet.☆807Updated 2 years ago
- [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"☆4,576Updated 8 months ago
- [ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"☆2,604Updated 9 months ago
- Painter & SegGPT Series: Vision Foundation Models from BAAI☆2,566Updated 5 months ago
- [CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language☆1,313Updated last year
- General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX☆1,777Updated last year
- Multimodal-GPT☆1,498Updated last year
- This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.☆722Updated last year
- SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.☆997Updated last year
- This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".☆1,225Updated last year
- Open-Set Grounded Text-to-Image Generation☆2,113Updated last year
- Segment Anything in High Quality [NeurIPS 2023]☆3,905Updated 5 months ago
- MetaSeg: Packaged version of the Segment Anything repository☆979Updated this week
- Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds☆1,575Updated 9 months ago
- ☆773Updated 9 months ago
- Open-source and strong foundation image recognition models.☆3,216Updated 2 months ago
- A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model To…☆1,040Updated 7 months ago
- EVA Series: Visual Representation Fantasies from BAAI☆2,477Updated 9 months ago
- Relate Anything Model is capable of taking an image as input and utilizing SAM to identify the corresponding mask within the image.☆454Updated last year
- Tracking and collecting papers/projects/others related to Segment Anything.☆1,612Updated last month
- [ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"☆708Updated last year
- [CVPR2024, Highlight] Official code for DragDiffusion☆1,215Updated last year
- Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]☆901Updated 10 months ago
- Project Page for "LISA: Reasoning Segmentation via Large Language Model"☆2,185Updated 2 months ago
- An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary alg…☆2,948Updated last year
- [ICCV 2023] Tracking Anything with Decoupled Video Segmentation☆1,373Updated last week
- Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).☆1,195Updated 10 months ago
- Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI…☆6,700Updated 11 months ago
- Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.☆367Updated 2 years ago