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Conference Paper
Latent Bias Correction in Outpainting Artworks
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- Authors
- Jung-Jae Yu, Dae-Young Song
- Issue Date
- 2024-12
- Citation
- ACM SIGGRAPH Asia (SA) 2024, pp.1-2
- Publisher
- ACM
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper describes research on applying latent correction to image outpainting using a diffusion model. The purpose of this study is to eliminate unnecessary tendencies that frequently occur when outpainting an artwork, which lower the completeness of the resulting work. The core of the proposed method is to apply the error correction value calculated in the already known input region to the area to be generated during the denoising process in the latent space. The effectiveness of the proposed method was verified quantitatively and qualitatively through experiments.
- KSP Keywords
- Diffusion Model, Error correction, Latent space, bias correction