mlsanityData to 14 Oct 2026

Optimizing the Latent Space of Generative Networks

arXiv 1707.05776 ↗First posted 18 Jul 2017stat.ML cs.CV cs.LGcited by 157

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Abstract (arXiv)

Generative Adversarial Networks (GANs) have achieved remarkable results in the task of generating realistic natural images. In most successful applications, GAN models share two common aspects: solving a challenging saddle point optimization problem, interpreted as an adversarial game between a generator and a discriminator functions; and parameterizing the generator and the discriminator as deep convolutional neural networks. The goal of this paper is to disentangle the contribution of these two factors to the success of GANs. In particular, we introduce Generative Latent Optimization (GLO), a framework to train deep convolutional generators using simple reconstruction losses. Throughout a variety of experiments, we show that GLO enjoys many of the desirable properties of GANs: synthesizing visually-appealing samples, interpolating meaningfully between samples, and performing linear arithmetic with noise vectors; all of this without the adversarial optimization scheme.

Key facts. Cited by 157 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Jul 2017.

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Citing papers per year: 2021: 39; 2022: 29; 2023: 36; 2024: 26; 2025: 12; 2026: 15.

157 papers.

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  1. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,032
  2. 2023K-Planes: Explicit Radiance Fields in Space, Time, and Appearancecited by 746
  3. 2022Block-NeRF: Scalable Large Scene Neural View Synthesiscited by 724
  4. 2023Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fieldscited by 671
  5. 2021Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstructioncited by 652
  6. 2021Neural Fields in Visual Computing and Beyondcited by 540
  7. 2023ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generationcited by 416
  8. 2021GAN Inversion: A Surveycited by 367
  9. 2021StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2cited by 301
  10. 2021Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Modelscited by 252
  11. 2024Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussianscited by 230
  12. 2021HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fieldscited by 214
38 more
  1. 2024VastGaussian: Vast 3D Gaussians for Large Scene Reconstructioncited by 209
  2. 2022NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)cited by 158
  3. 2022GAUDI: A Neural Architect for Immersive 3D Scene Generationcited by 136
  4. 2021NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illuminationcited by 135
  5. 2024RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPScited by 113
  6. 2021Fair Mixup: Fairness via Interpolationcited by 109
  7. 2021ShaRF: Shape-conditioned Radiance Fields from a Single Viewcited by 92
  8. 2023Bayes' Rays: Uncertainty Quantification for Neural Radiance Fieldscited by 91
  9. 2021LOLNeRF: Learn from One Lookcited by 84
  10. 2021Differentiable Quality Diversitycited by 72
  11. 2022DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priorscited by 70
  12. 2022AutoRF: Learning 3D Object Radiance Fields from Single View Observationscited by 59
  13. 2023Representing Volumetric Videos as Dynamic MLP Mapscited by 51
  14. 2023AutoDecoding Latent 3D Diffusion Modelscited by 50
  15. 2021FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modellingcited by 47
  16. 2021Shadow Neural Radiance Fields for Multi-view Satellite Photogrammetrycited by 47
  17. 2023Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Modelscited by 40
  18. 2021Point-Based Modeling of Human Clothingcited by 37
  19. 2023Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesiscited by 37
  20. 2023PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervisioncited by 36
  21. 2021Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translationcited by 35
  22. 2021ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolationcited by 35
  23. 2022State-of-the-Art in the Architecture, Methods and Applications of StyleGANcited by 34
  24. 2021Geometric Entropic Explorationcited by 32
  25. 2021SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networkscited by 30
  26. 2021Occlusion-Aware Video Object Inpaintingcited by 30
  27. 2022Green Learning: Introduction, Examples and Outlookcited by 30
  28. 2024Horizon-GS: Unified 3D Gaussian Splatting for Large-Scale Aerial-to-Ground Scenescited by 30
  29. 2022SPAGHETTI: Editing Implicit Shapes Through Part Aware Generationcited by 28
  30. 2023TriHuman : A Real-time and Controllable Tri-plane Representation for Detailed Human Geometry and Appearance Synthesiscited by 28
  31. 2024Bilateral Guided Radiance Field Processingcited by 28
  32. 2022MyStyle: A Personalized Generative Priorcited by 26
  33. 2022NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localizationcited by 26
  34. 2021This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Facescited by 25
  35. 2024DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codescited by 25
  36. 2021Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithmscited by 24
  37. 2021Graph Neural Networks Based Detection of Stealth False Data Injection Attacks in Smart Gridscited by 24
  38. 2023Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editingcited by 22

50 most cited of 157 All 157 (JSON)