Summary of Fusion Embedding For Pose-guided Person Image Synthesis with Diffusion Model, by Donghwna Lee et al.
Fusion Embedding for Pose-Guided Person Image Synthesis with Diffusion Model
by Donghwna Lee, Kyungha Min, Kirok Kim, Seyoung Jeong, Jiwoo Jeong, Wooju Kim
First submitted to arxiv on: 10 Dec 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel approach to pose-guided person image synthesis, called Fusion embedding for PGPIS using a Diffusion Model (FPDM), is proposed. This method involves two stages: first, the fusion embedding of the source image and target pose are trained to align with the target image’s embedding; then, the generative model uses this fusion embedding as a condition to generate the target image. The approach demonstrates state-of-the-art performance on benchmark datasets DeepFashion and RWTH-PHOENIX-Weather 2014T, outperforming existing PGPIS methods. An ablation study shows that even a model using only the second stage achieves competitive performance. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine creating fake pictures of people in different poses. It’s like making a movie where you can change the scene and characters easily! Researchers have been working on ways to make these fake pictures look super realistic. They tried something new called Fusion embedding for PGPIS using a Diffusion Model (FPDM). It involves two steps: first, they trained the computer to understand how the person’s pose and the source image relate to each other; then, they used this understanding to generate the target image. The results were amazing! The fake pictures looked super real and outperformed previous methods. |
Keywords
» Artificial intelligence » Diffusion model » Embedding » Generative model » Image synthesis
