✨One Small Step in Latent, One Giant Leap for Pixels: Fast Latent Upscale Adapter for Your Diffusion Models
📝 Summary:
LUA performs efficient super-resolution directly in diffusion models' latent space. This lightweight module enables faster, high-quality image synthesis by upscaling before VAE decoding, cutting time versus pixel-space methods, and generalizing across VAEs.
🔹 Publication Date: Published on Nov 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.10629
• PDF: https://arxiv.org/pdf/2511.10629
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#DiffusionModels #SuperResolution #LatentSpace #ImageGeneration #AIResearch
📝 Summary:
LUA performs efficient super-resolution directly in diffusion models' latent space. This lightweight module enables faster, high-quality image synthesis by upscaling before VAE decoding, cutting time versus pixel-space methods, and generalizing across VAEs.
🔹 Publication Date: Published on Nov 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.10629
• PDF: https://arxiv.org/pdf/2511.10629
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#DiffusionModels #SuperResolution #LatentSpace #ImageGeneration #AIResearch