Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models
from Arxiv Papers Hosted by Igor Melnyk
Add-it is a training-free approach for semantic image editing that seamlessly integrates objects into images using a weighted extended-attention mechanism, achieving state-of-the-art results without fine-tuning. https://arxiv.org/abs//2411.07232 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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This episode was published on November 12, 2024.
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