mlsanityData to 7 Oct 2026

Adversarial Latent Autoencoders

arXiv 2004.04467 ↗First posted 9 Apr 2020cs.LG cs.CVcited by 155

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Cited by 24 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Autoencoder networks are unsupervised approaches aiming at combining generative and representational properties by learning simultaneously an encoder-generator map. Although studied extensively, the issues of whether they have the same generative power of GANs, or learn disentangled representations, have not been fully addressed. We introduce an autoencoder that tackles these issues jointly, which we call Adversarial Latent Autoencoder (ALAE). It is a general architecture that can leverage recent improvements on GAN training procedures. We designed two autoencoders: one based on a MLP encoder, and another based on a StyleGAN generator, which we call StyleALAE. We verify the disentanglement properties of both architectures. We show that StyleALAE can not only generate 1024x1024 face images with comparable quality of StyleGAN, but at the same resolution can also produce face reconstructions and manipulations based on real images. This makes ALAE the first autoencoder able to compare with, and go beyond the capabilities of a generator-only type of architecture.

Key facts. Cited by 155 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Apr 2020.

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Citing papers per year: 2021: 46; 2022: 37; 2023: 35; 2024: 16; 2025: 11; 2026: 10.

155 papers.

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  1. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,231
  2. 2022Diffusion Models: A Comprehensive Survey of Methods and Applicationscited by 1,107
  3. 2021Vector-quantized Image Modeling with Improved VQGANcited by 656
  4. 2021Score-based Generative Modeling in Latent Spacecited by 634
  5. 2021Tackling the Generative Learning Trilemma with Denoising Diffusion GANscited by 515
  6. 2021Label-Efficient Semantic Segmentation with Diffusion Modelscited by 495
  7. 2021Pivotal Tuning for Latent-based Editing of Real Imagescited by 427
  8. 2021GAN Inversion: A Surveycited by 366
  9. 2022Perception Prioritized Training of Diffusion Modelscited by 301
  10. 2021ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinementcited by 248
  11. 2023Break-A-Scene: Extracting Multiple Concepts from a Single Imagecited by 230
  12. 2021HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editingcited by 208
38 more
  1. 2023Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Modelscited by 203
  2. 2021A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representationcited by 113
  3. 2023Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervisioncited by 112
  4. 2024Stable Flow: Vital Layers for Training-Free Image Editingcited by 111
  5. 2023Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Modelscited by 98
  6. 2021Only a Matter of Style: Age Transformation Using a Style-Based Regression Modelcited by 92
  7. 2021Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editingcited by 91
  8. 2021HyperInverter: Improving StyleGAN Inversion via Hypernetworkcited by 85
  9. 2023Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Modelscited by 85
  10. 2024Optimal Flow Matching: Learning Straight Trajectories in Just One Stepcited by 74
  11. 2021Aligning Latent and Image Spaces to Connect the Unconnectablecited by 70
  12. 2022Stitch it in Time: GAN-Based Facial Editing of Real Videoscited by 68
  13. 2021A Latent Transformer for Disentangled Face Editing in Images and Videoscited by 67
  14. 2021Improved Transformer for High-Resolution GANscited by 59
  15. 2021Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Imagescited by 58
  16. 2023Diffusion Models Beat GANs on Image Classificationcited by 57
  17. 2021Using latent space regression to analyze and leverage compositionality in GANscited by 55
  18. 2021Anycost GANs for Interactive Image Synthesis and Editingcited by 54
  19. 2022Third Time's the Charm? Image and Video Editing with StyleGAN3cited by 54
  20. 2022Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifierscited by 53
  21. 2021OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wildcited by 50
  22. 2021StyleAlign: Analysis and Applications of Aligned StyleGAN Modelscited by 48
  23. 2021ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Imagescited by 48
  24. 2021BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generationcited by 47
  25. 2024Light and Optimal Schr"odinger Bridge Matchingcited by 45
  26. 2021Image-Based CLIP-Guided Essence Transfercited by 39
  27. 2023Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transportcited by 39
  28. 2022Proactive Image Manipulation Detectioncited by 35
  29. 2021Video Autoencoder: self-supervised disentanglement of static 3D structure and motioncited by 34
  30. 2022State-of-the-Art in the Architecture, Methods and Applications of StyleGANcited by 34
  31. 2023Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformerscited by 33
  32. 2023Do text-free diffusion models learn discriminative visual representations?cited by 33
  33. 2022One-Shot Adaptation of GAN in Just One CLIPcited by 31
  34. 2021LOHO: Latent Optimization of Hairstyles via Orthogonalizationcited by 30
  35. 2021StyleFusion: A Generative Model for Disentangling Spatial Segmentscited by 28
  36. 2023MaLP: Manipulation Localization Using a Proactive Schemecited by 26
  37. 2022High-fidelity GAN Inversion with Padding Spacecited by 23
  38. 2024Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transportcited by 22

50 most cited of 155 All 155 (JSON)