mlsanityData to 14 Oct 2026

Preserving Old Memories in Vivid Detail: Human-Interactive Photo Restoration Framework

arXiv 2410.09529 ↗First posted 12 Oct 2024cs.CV cs.AIcited by 0

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Abstract (arXiv)

Photo restoration technology enables preserving visual memories in photographs. However, physical prints are vulnerable to various forms of deterioration, ranging from physical damage to loss of image quality, etc. While restoration by human experts can improve the quality of outcomes, it often comes at a high price in terms of cost and time for restoration. In this work, we present the AI-based photo restoration framework composed of multiple stages, where each stage is tailored to enhance and restore specific types of photo damage, accelerating and automating the photo restoration process. By integrating these techniques into a unified architecture, our framework aims to offer a one-stop solution for restoring old and deteriorated photographs. Furthermore, we present a novel old photo restoration dataset because we lack a publicly available dataset for our evaluation.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 19 references that are in the map. First posted on arXiv 12 Oct 2024.

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14 of 19 references.

References · 14

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  2. 2020Denoising Diffusion Implicit Modelscited by 9,781
  3. 2014ImageNet Large Scale Visual Recognition Challengecited by 8,498
  4. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,627
  5. 2021Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Datacited by 970
  6. 2022Denoising Diffusion Restoration Modelscited by 963
  7. 2022Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Modelcited by 583
  8. 2017Age Progression/Regression by Conditional Adversarial Autoencodercited by 429
  9. 2021Towards Real-World Blind Face Restoration with Generative Facial Priorcited by 349
  10. 2023Denoising Diffusion Models for Plug-and-Play Image Restorationcited by 340
  11. 2023DiffBIR: Towards Blind Image Restoration with Generative Diffusion Priorcited by 257
  12. 2019Gradio: Hassle-Free Sharing and Testing of ML Models in the Wildcited by 178
2 more
  1. 2020Bringing Old Photos Back to Lifecited by 95
  2. 2022DDColor: Towards Photo-Realistic Image Colorization via Dual Decoderscited by 36

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