mlsanityData to 7 Oct 2026

Several questions of visual generation in 2024

arXiv 2407.18290 ↗First posted 11 Jul 2024cs.CV cs.HCcited by 0

Not on the map. Why?

Abstract (arXiv)

This paper does not propose any new algorithms but instead outlines various problems in the field of visual generation based on the author's personal understanding. The core of these problems lies in how to decompose visual signals, with all other issues being closely related to this central problem and stemming from unsuitable approaches to signal decomposition. This paper aims to draw researchers' attention to the significance of Visual Signal Decomposition.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 43 of its 54 references that are in the map. First posted on arXiv 11 Jul 2024.

Builds on

43 of 54 references.

References · 43

  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. 2020Scaling Laws for Neural Language Modelscited by 6,411
  5. 2022Classifier-Free Diffusion Guidancecited by 5,717
  6. 2022Flow Matching for Generative Modelingcited by 5,426
  7. 2017Neural Discrete Representation Learningcited by 4,650
  8. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,290
  9. 2021Zero-Shot Text-to-Image Generationcited by 4,276
  10. 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesiscited by 4,094
  11. 2021Improved Denoising Diffusion Probabilistic Modelscited by 3,736
  12. 2022Elucidating the Design Space of Diffusion-Based Generative Modelscited by 2,994
31 more
  1. 2023Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasetscited by 2,526
  2. 2023Consistency Modelscited by 1,778
  3. 2018Glow: Generative Flow with Invertible 1x1 Convolutionscited by 1,539
  4. 2019Generating Diverse High-Fidelity Images with VQ-VAE-2cited by 1,376
  5. 2021Variational Diffusion Modelscited by 1,145
  6. 2024Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Predictioncited by 1,005
  7. 2022eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoiserscited by 921
  8. 2021Vector Quantized Diffusion Model for Text-to-Image Synthesiscited by 773
  9. 2023Neural Codec Language Models are Zero-Shot Text to Speech Synthesizerscited by 737
  10. 2022On Distillation of Guided Diffusion Modelscited by 721
  11. 2022Autoregressive Image Generation using Residual Quantizationcited by 706
  12. 2021Maximum Likelihood Training of Score-Based Diffusion Modelscited by 670
  13. 2023Muse: Text-To-Image Generation via Masked Generative Transformerscited by 640
  14. 2021Diffusion Schr"odinger Bridge with Applications to Score-Based Generative Modelingcited by 594
  15. 2023VideoPoet: A Large Language Model for Zero-Shot Video Generationcited by 479
  16. 2023Common Diffusion Noise Schedules and Sample Steps are Flawedcited by 308
  17. 2024An Image is Worth 32 Tokens for Reconstruction and Generationcited by 295
  18. 2023Understanding Diffusion Objectives as the ELBO with Simple Data Augmentationcited by 293
  19. 2023Efficient Diffusion Training via Min-SNR Weighting Strategycited by 242
  20. 2024Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Modelscited by 240
  21. 2022What the DAAM: Interpreting Stable Diffusion Using Cross Attentioncited by 233
  22. 2018Pros and Cons of GAN Evaluation Measurescited by 224
  23. 2023On the Importance of Noise Scheduling for Diffusion Modelscited by 193
  24. 2023InstructDiffusion: A Generalist Modeling Interface for Vision Taskscited by 162
  25. 2023Diffusion Schr"odinger Bridge Matchingcited by 151
  26. 2024Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformerscited by 116
  27. 2022Improved Vector Quantized Diffusion Modelscited by 62
  28. 2020GIQA: Generated Image Quality Assessmentcited by 51
  29. 2023VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encodercited by 39
  30. 2024Improved Noise Schedule for Diffusion Trainingcited by 38
  31. 2024Unraveling the Mystery of Scaling Laws: Part Icited by 24

Built on by

Not cited yet.