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Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction

arXiv 2306.14891 ↗First posted 26 Jun 2023cs.CV cs.LG eess.IVcited by 0

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Abstract (arXiv)

Image diffusion has recently shown remarkable performance in image synthesis and implicitly as an image prior. Such a prior has been used with conditioning to solve the inpainting problem, but only supporting binary user-based conditioning. We derive a fuzzy-conditioned diffusion, where implicit diffusion priors can be exploited with controllable strength. Our fuzzy conditioning can be applied pixel-wise, enabling the modification of different image components to varying degrees. Additionally, we propose an application to facial image correction, where we combine our fuzzy-conditioned diffusion with diffusion-derived attention maps. Our map estimates the degree of anomaly, and we obtain it by projecting on the diffusion space. We show how our approach also leads to interpretable and autonomous facial image correction.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 20 of its 24 references that are in the map. First posted on arXiv 26 Jun 2023.

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20 of 24 references.

References · 20

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
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  3. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,355
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  12. 2021UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Modelscited by 133
8 more
  1. 2022DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latentscited by 104
  2. 2022Denoising diffusion models for out-of-distribution detectioncited by 104
  3. 2022Generating High Fidelity Data from Low-density Regions using Diffusion Modelscited by 78
  4. 2021Score-based Generative Neural Networks for Large-Scale Optimal Transportcited by 60
  5. 2019Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learningcited by 31
  6. 2022Dynamic Dual-Output Diffusion Modelscited by 25
  7. 2020BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restorationcited by 15
  8. 2022Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detectioncited by 5

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  1. 2023DiffusionRig: Learning Personalized Priors for Facial Appearance Editing
  2. 2024Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
  3. 2024Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models
  4. 2023Dynamic Attention-Guided Diffusion for Image Super-Resolution
  5. 2025FaSDiff: Balancing Perception and Semantics in Face Compression via Stable Diffusion Priors
  6. 2023Modulating Pretrained Diffusion Models for Multimodal Image Synthesis
  7. 2023PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
  8. 2025Mechanistic Interpretability of Diffusion Models: Circuit-Level Analysis and Causal Validation