Guaishou74851/AdcSR
(CVPR 2025) Adversarial Diffusion Compression for Real-World Image Super-Resolution [PyTorch]
This tool rapidly enhances low-resolution images, transforming them into high-resolution, visually rich versions. You provide blurry or pixelated images, and it outputs sharp, detailed alternatives suitable for viewing on larger screens or for print. It's designed for professionals in visual content creation or analysis who need quick, high-quality image upscaling.
263 stars. No commits in the last 6 months.
Use this if you need to quickly upscale low-resolution images by 4x, achieving competitive visual quality without significant computational overhead.
Not ideal if you require extreme control over the upscaling process at a very granular level or need to upscale images by a factor other than 4x.
Stars
263
Forks
14
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 05, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/Guaishou74851/AdcSR"
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.