This is the Windows app named ImageReward whose latest release can be downloaded as ImageRewardsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
ImageReward
DESCRIPTION:
ImageReward is the first general-purpose human preference reward model (RM) designed for evaluating text-to-image generation, introduced alongside the NeurIPS 2023 paper ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation. Trained on 137k expert-annotated image pairs, ImageReward significantly outperforms existing scoring methods like CLIP, Aesthetic, and BLIP in capturing human visual preferences. It is provided as a Python package (image-reward) that enables quick scoring of generated images against textual prompts, with APIs for ranking, scoring, and filtering outputs. Beyond evaluation, ImageReward supports Reward Feedback Learning (ReFL), a method for directly fine-tuning diffusion models such as Stable Diffusion using human-preference feedback, leading to demonstrable improvements in image quality.
Features
- Human preference reward model trained on 137k expert comparisons
- Outperforms CLIP, Aesthetic, and BLIP in preference scoring accuracy
- Easy-to-use Python package for scoring and ranking generated images
- Reward Feedback Learning (ReFL) for fine-tuning diffusion models with preference signals
- Integration into Stable Diffusion WebUI for auto-scoring and filtering images
- Full training and evaluation scripts to reproduce published benchmarks
Programming Language
Python, Unix Shell
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/imagereward.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.