all AI news
Learning Subject-Aware Cropping by Outpainting Professional Photos
April 5, 2024, 4:46 a.m. | James Hong, Lu Yuan, Micha\"el Gharbi, Matthew Fisher, Kayvon Fatahalian
cs.CV updates on arXiv.org arxiv.org
Abstract: How to frame (or crop) a photo often depends on the image subject and its context; e.g., a human portrait. Recent works have defined the subject-aware image cropping task as a nuanced and practical version of image cropping. We propose a weakly-supervised approach (GenCrop) to learn what makes a high-quality, subject-aware crop from professional stock images. Unlike supervised prior work, GenCrop requires no new manual annotations beyond the existing stock image collection. The key challenge …
abstract arxiv context cs.cv cs.gr human image learn outpainting photo photos practical professional type weakly-supervised
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York