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Published in 2017 at "Computational Visual Media"
DOI: 10.1007/s41095-017-0102-8
Abstract: When combining very different images which often contain complex objects and backgrounds, producing consistent compositions is a challenging problem requiring seamless image editing. In this paper, we propose a general approach, called object-aware image editing,…
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Keywords:
image;
domain composition;
object aware;
image editing ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.03.064
Abstract: Abstract This paper presents a novel GPU-based patch matching method which efficiently finds approximate nearest neighbor correspondences for patches between images. Our approach improves traditional patch matching algorithms in two aspects. First, we propose to…
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Keywords:
patch matching;
image;
patch;
approximate nearest ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3442296
Abstract: Recent advancements in text-to-image generation have demonstrated significant progress, especially with diffusion-based models conditioned on textual prompts, which excel in image quality and diversity. However, these methods often encounter a semantic gap between image and…
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Keywords:
knowledge;
image;
diff text;
image editing ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3606427
Abstract: Text-based image editing using diffusion models has shown remarkable progress, but most approaches rely on large-scale models (Stable Diffusion Models - SDMs) that require significant computational resources. In this work, we propose a lightweight diffusion-based…
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Keywords:
image;
stable diffusion;
image editing;
model ... See more keywords