Tools for critique of art – open source

Byscientist

Good publication to review material:

CognArtive: Large Language Models for Automating Art Analysis and Decoding Aesthetic Elements at https://arxiv.org/html/2502.04353v1

And the wonderful visualization to analyze the data over the years that was derived from WikiArt.

https://cognartive.github.io

Autocritic: an open-source system that uses classic art theory to evaluate images and steer generative systems. It distills historical works by Wölfflin, Kandinsky, Arnheim, Klee, and others into structured “critic cards” that teach an LLM how to see through each theorist’s lens.

https://github.com/mccoyspace/autocritic

Art analyzer:

This is an app that uses GPT vision to provide the critique. Users can upload an imagen and get a critique. More LLM based

https://github.com/ericblue/art-analyzer

Art Critique and Creation tool

https://github.com/SamaMostafa03/Art-Critique-and-Creation-Tool

It has a critque mode which Analyzes an artist’s work and provides a critique of various elements, such as color palettes, composition, texture, and style, which can help artists improve or refine their works

Older one : MLArt-critc

This is based on traditional ML learning methods on a Microsoft framework in 2018 and 2019 with a movie to make it easy to implement: https://www.youtube.com/watch?v=-C8bm5kGDTI

https://github.com/CrazyRobMiles/MLArt-Critic

Similar Posts

  • | | |

    AI Drug Discovery from target to new molecular entities in 2 hours

    Byscientist

    This was at Google’s offices in Cambridge, MA learning GCP and Google cloud framework while using AI tools for drug discovery. Thank you to the team members at Google, for helping me understand how to set up an AI workflow and discover drugs by targeting EGFR (Epidermal Growth Factor Receptor) kinase domain. This example is…

  • Explainable AI

    Byscientist

    A very traditional problem solving method is the following: given a set of features or variables, can we understand the features to form a conclusion. This could be something like a treatment strategy wherein the strategy is built on a series of data and then ingesting the data helps make a conclusion. However, an equally…

  • LoRa adaptors

    Byscientist

    LoRa in the IOT community are the low power long range wireless standards devices that are utilized to send a signal over large distances. However, in the AI field LoRa implies Low rank adaptation – which is relatively more efficient compute way to fine tune pretrained models (LLM, vision transformers, diffusion models). With a pretrained…

  • DeepSpot

    Byscientist

    Kalin Klonchev – the winner of a competition for AI based data analysis from Broad in 2024 had also created a tool called DeepSpot. Worth looking at for spot analysis of H&E sections by converting a full H&E slide pictures to “spots” which are analyzed. Some good links: DeepSpot paper: https://www.medrxiv.org/content/10.1101/2025.02.09.25321567v1 DeepSpot GitHub repository: https://github.com/ratschlab/DeepSpot…