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AI researchers seek better models for predicting human image preferences

A user on Reddit's r/MachineLearning subreddit is seeking recommendations for models that can predict human preference for generated image pairs. They have experimented with HPSv3 and found it to have limitations, prompting them to ask the community for alternative, potentially better, models. The user is building a project called imagebench.ai and has documented their experience with HPSv3 in a blog post. AI

IMPACT This query highlights the ongoing challenge of accurately modeling human aesthetic preferences for AI-generated content.

RANK_REASON User query on a forum seeking alternatives to an existing model.

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI researchers seek better models for predicting human image preferences

COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/dh7net ·

    Predicting human preference for generated image pairs using HPSv3 [P]

    <!-- SC_OFF --><div class="md"><p>Hey! I'm looking for ways to predict human preference for a project I'm building. (imagebench.ai)</p> <p>I've tryed <strong>HPSv3</strong>, <a href="https://github.com/MizzenAI/HPSv3">https://github.com/MizzenAI/HPSv3</a> and made post about it h…