This paper introduces a benchmark to evaluate the performance of models in editing multi-person images, focusing on anatomical and geometric accuracy. Practitioners in the field of computer vision and image editing might care about this research as it aims to improve the quality of human-like images with multiple people.
Firehose
Filtered to Papers, tagged “anatomical accuracy” · clear filters
Browse: People · Companies · Papers · Podcasts · Hacker News · Deep dives