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4KAgent
taco-group/4KAgent
[NeurIPS 2025] 4KAgent: Agentic Any Image to 4K Super-Resolution. An intelligent computer vision agent that can magically restore any image to perfect-4K!
★818stars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Models category, core strengths: agent/agentic-ai
Who made it?Maintained by taco-group team, 818⭐ on GitHub, #1334 out of 3201 in Models
Why does it exist?In the Models space, agent workflows faced efficiency bottlenecks. 4KAgent was built by taco-group to address these agentic-ai challenges.
What can it do?Key use cases: computer-vision, image-enhancement, image-processing
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/taco-group/4KAgent | 官网 https://4kagent.github.io
🔗 github.com/taco-group/4KAgent | 官网 https://4kagent.github.io
Topics
agentagentic-aicomputer-visionimage-enhancementimage-processingimage-restorationlarge-language-modelsllmlow-levelmllmneuripsneurips-2025super-resolutionvision-language-modelsworkflow