Boosting Generative Image Modeling via Joint Image-Feature Synthesis
from Arxiv Papers Hosted by Igor Melnyk
We propose a novel latent-semantic diffusion model that enhances image generation quality and training efficiency by integrating low-level latents and high-level features, simplifying training and improving inference. https://arxiv.org/abs//2504.16064 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 April 26, 2025.
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