mlsanityData to 7 Oct 2026

Multiresolution Textual Inversion

arXiv 2211.17115 ↗First posted 30 Nov 2022cs.CV cs.AI cs.LGcited by 33

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Abstract (arXiv)

We extend Textual Inversion to learn pseudo-words that represent a concept at different resolutions. This allows us to generate images that use the concept with different levels of detail and also to manipulate different resolutions using language. Once learned, the user can generate images at different levels of agreement to the original concept; "A photo of S^*(0)" produces the exact object while the prompt "A photo of S^*(0.8)" only matches the rough outlines and colors. Our framework allows us to generate images that use different resolutions of an image (e.g. details, textures, styles) as separate pseudo-words that can be composed in various ways. We open-soure our code in the following URL: https://github.com/giannisdaras/multirestextualinversion

Key facts. Cited by 33 papers in the map (data through 7 Oct 2026). Builds on 13 of its 15 references that are in the map. First posted on arXiv 30 Nov 2022.

Builds on

13 of 15 references.

References · 13

  1. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  3. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
  4. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  5. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  6. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
  7. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,231
  8. 2021SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equationscited by 1,903
  9. 2022Cold Diffusion: Inverting Arbitrary Image Transforms Without Noisecited by 275
  10. 2022Soft Diffusion: Score Matching for General Corruptionscited by 101
  11. 2021Intermediate Layer Optimization for Inverse Problems using Deep Generative Modelscited by 70
  12. 2022Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problemscited by 11
1 more
  1. 2021Generator Surgery for Compressed Sensingcited by 5

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Citing papers per year: 2023: 17; 2024: 12; 2025: 3; 2026: 1.

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  1. 2023Key-Locked Rank One Editing for Text-to-Image Personalizationcited by 194
  2. 2023Zero-Shot Composed Image Retrieval with Textual Inversioncited by 171
  3. 2023LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-Oncited by 151
  4. 2023DDP: Diffusion Model for Dense Visual Predictioncited by 148
  5. 2023Localizing Object-level Shape Variations with Text-to-Image Diffusion Modelscited by 142
  6. 2023Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometrycited by 121
  7. 2023Improving Tuning-Free Real Image Editing with Proximal Guidancecited by 87
  8. 2023Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistentcited by 58
  9. 2023Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Modelscited by 42
  10. 2024RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customizationcited by 39
  11. 2024Customizing Text-to-Image Models with a Single Image Paircited by 36
  12. 2023ReFACT: Updating Text-to-Image Models by Editing the Text Encodercited by 32
21 more
  1. 2023Unsupervised Discovery of Semantic Latent Directions in Diffusion Modelscited by 28
  2. 2023Gradient-Free Textual Inversioncited by 28
  3. 2024ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglementcited by 28
  4. 2023Diff-Privacy: Diffusion-based Face Privacy Protectioncited by 25
  5. 2024iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrievalcited by 24
  6. 2023IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Modelscited by 20
  7. 2024Learning Discrete Concepts in Latent Hierarchical Modelscited by 17
  8. 2024RealCustom++: Representing Images as Real Textual Word for Real-Time Customizationcited by 16
  9. 2023AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Modelscited by 11
  10. 2024InstructBrush: Learning Attention-based Instruction Optimization for Image Editingcited by 10
  11. 2024LEAD: Latent Realignment for Human Motion Diffusioncited by 9
  12. 2024Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editingcited by 5
  13. 2024HypDAE: Hyperbolic Diffusion Autoencoders for Hierarchical Few-shot Image Generationcited by 3
  14. 2023Resolution Chromatography of Diffusion Modelscited by 2
  15. 2024Assessing Open-world Forgetting in Generative Image Model Customizationcited by 2
  16. 2025Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptationcited by 2
  17. 2025Diffusion-Based Action Recognition Generalizes to Untrained Domainscited by 2
  18. 2025Efficient Personalization of Quantized Diffusion Model without Backpropagationcited by 1
  19. 2026Steering Away from Memorization: Reachability-Constrained Reinforcement Learning for Text-to-Image Diffusioncited by 1
  20. 2023Textual and Visual Prompt Fusion for Image Editing via Step-Wise Alignmentcited by 0
  21. 2024Opt-In Art: Learning Art Styles Only from Few Examplescited by 0