taco-group/4KAgent
An agentic system using vision-language models to orchestrate multi-step workflows for 4K image super-resolution.
Not currently ranked — collecting fresh signals.
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4KAgent is a NeurIPS 2025 research project that builds an intelligent agent for image super-resolution. The agent leverages large multimodal language models (MLLMs) and vision-language models to reason about and orchestrate a series of computer vision steps — such as face enhancement, text removal, and detail restoration — to transform any input image into high-quality 4K resolution. It represents an agentic approach to low-level vision tasks, using LLMs to plan and coordinate specialized vision modules.
Frequently asked
- What is taco-group/4KAgent?
- An agentic system using vision-language models to orchestrate multi-step workflows for 4K image super-resolution.
- Is 4KAgent open source?
- Yes — taco-group/4KAgent is open source, released under the Apache-2.0 license.
- What language is 4KAgent written in?
- taco-group/4KAgent is primarily written in Python.
- How popular is 4KAgent?
- taco-group/4KAgent has 812 stars on GitHub.
- Where can I find 4KAgent?
- taco-group/4KAgent is on GitHub at https://github.com/taco-group/4KAgent.