segments-ai/latent-diffusion-segmentation
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting [ECCV 2024]
This project helps computer vision researchers and AI practitioners generate detailed segmentation masks from images. It takes an input image and produces panoptic segmentation masks, which delineate every object and region in the image, categorizing them and separating instances. This is useful for those developing or researching advanced image understanding systems, especially when traditional methods are too complex or computationally heavy.
104 stars. No commits in the last 6 months.
Use this if you need to generate high-quality, comprehensive panoptic segmentation masks for images using a simplified, generative approach.
Not ideal if you are looking for a pre-trained, ready-to-use application without needing to train or fine-tune models yourself.
Stars
104
Forks
8
Language
Python
License
—
Category
Last pushed
Jan 30, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/segments-ai/latent-diffusion-segmentation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
bghira/SimpleTuner
A general fine-tuning kit geared toward image/video/audio diffusion models.
mcmonkeyprojects/SwarmUI
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an...
nateraw/stable-diffusion-videos
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
TheDesignFounder/DreamLayer
Benchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.