all AI news
Automated Virtual Product Placement and Assessment in Images using Diffusion Models
May 3, 2024, 4:58 a.m. | Mohammad Mahmudul Alam, Negin Sokhandan, Emmett Goodman
cs.CV updates on arXiv.org arxiv.org
Abstract: In Virtual Product Placement (VPP) applications, the discrete integration of specific brand products into images or videos has emerged as a challenging yet important task. This paper introduces a novel three-stage fully automated VPP system. In the first stage, a language-guided image segmentation model identifies optimal regions within images for product inpainting. In the second stage, Stable Diffusion (SD), fine-tuned with a few example product images, is used to inpaint the product into the previously …
abstract applications arxiv assessment automated brand cs.cv diffusion diffusion models image images integration language novel paper placement product product placement products segmentation stage type videos virtual
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
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