mlsanityData to 14 Oct 2026

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

arXiv 2111.02114 ↗First posted 3 Nov 2021cs.CV cs.CL cs.LGcited by 1,555

Not on the map. Why?

Cited by 358 in Multimodal LLMs / vision-language models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Multi-modal language-vision models trained on hundreds of millions of image-text pairs (e.g. CLIP, DALL-E) gained a recent surge, showing remarkable capability to perform zero- or few-shot learning and transfer even in absence of per-sample labels on target image data. Despite this trend, to date there has been no publicly available datasets of sufficient scale for training such models from scratch. To address this issue, in a community effort we build and release for public LAION-400M, a dataset with CLIP-filtered 400 million image-text pairs, their CLIP embeddings and kNN indices that allow efficient similarity search.

Key facts. Cited by 1,555 papers in the map (data through 14 Oct 2026). Builds on 11 of its 12 references that are in the map. First posted on arXiv 3 Nov 2021.

Builds on

11 of 12 references.

References · 11

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2020Scaling Laws for Neural Language Modelscited by 6,586
  4. 2021Zero-Shot Text-to-Image Generationcited by 4,288
  5. 2021Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervisioncited by 3,864
  6. 2020Taming Transformers for High-Resolution Image Synthesiscited by 3,253
  7. 2020The Pile: An 800GB Dataset of Diverse Text for Language Modelingcited by 2,411
  8. 2021Scaling Vision Transformerscited by 999
  9. 2019Big Transfer (BiT): General Visual Representation Learningcited by 769
  10. 2020Scaling Laws for Autoregressive Generative Modelingcited by 522
  11. 2019One Epoch Is All You Needcited by 41

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 10; 2022: 132; 2023: 465; 2024: 468; 2025: 355; 2026: 125.

1,555 papers.

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  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  2. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,974
  3. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,355
  4. 2023BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Modelscited by 6,137
  5. 2022Flamingo: a Visual Language Model for Few-Shot Learningcited by 4,386
  6. 2022BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generationcited by 4,322
  7. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,152
  8. 2024OpenVLA: An Open-Source Vision-Language-Action Modelcited by 2,887
  9. 2023MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Modelscited by 2,711
  10. 2025Wan: Open and Advanced Large-Scale Video Generative Modelscited by 2,708
  11. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,245
  12. 2023MMBench: Is Your Multi-modal Model an All-around Player?cited by 2,141
38 more
  1. 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,540
  2. 2022Scaling Autoregressive Models for Content-Rich Text-to-Image Generationcited by 1,295
  3. 2023MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilitiescited by 1,239
  4. 2023ImageBind: One Embedding Space To Bind Them Allcited by 1,175
  5. 2022Reproducible scaling laws for contrastive language-image learningcited by 1,173
  6. 2022Multi-Concept Customization of Text-to-Image Diffusioncited by 1,106
  7. 2023mPLUG-Owl: Modularization Empowers Large Language Models with Multimodalitycited by 1,040
  8. 2023ShareGPT4V: Improving Large Multi-Modal Models with Better Captionscited by 1,005
  9. 2023A Survey on Multimodal Large Language Modelscited by 909
  10. 2023PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesiscited by 864
  11. 2023Vision-Language Models for Vision Tasks: A Surveycited by 839
  12. 2023EVA-CLIP: Improved Training Techniques for CLIP at Scalecited by 798
  13. 2023GLIGEN: Open-Set Grounded Text-to-Image Generationcited by 781
  14. 2023LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attentioncited by 781
  15. 2021Vector Quantized Diffusion Model for Text-to-Image Synthesiscited by 774
  16. 2022OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Frameworkcited by 745
  17. 2024Yi: Open Foundation Models by 01.AIcited by 719
  18. 2022EVA: Exploring the Limits of Masked Visual Representation Learning at Scalecited by 691
  19. 2023ModelScope Text-to-Video Technical Reportcited by 658
  20. 2023Muse: Text-To-Image Generation via Masked Generative Transformerscited by 648
  21. 2022DiffEdit: Diffusion-based semantic image editing with mask guidancecited by 647
  22. 2023DataComp: In search of the next generation of multimodal datasetscited by 644
  23. 2023MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningcited by 625
  24. 2023LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Modelcited by 602
  25. 2023AudioLDM: Text-to-Audio Generation with Latent Diffusion Modelscited by 599
  26. 2023Structure and Content-Guided Video Synthesis with Diffusion Modelscited by 590
  27. 2024LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Modelscited by 584
  28. 2023Otter: A Multi-Modal Model with In-Context Instruction Tuningcited by 550
  29. 2024BLINK: Multimodal Large Language Models Can See but Not Perceivecited by 550
  30. 2023Language Is Not All You Need: Aligning Perception with Language Modelscited by 543
  31. 2022Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Modelscited by 513
  32. 2023Towards Universal Fake Image Detectors that Generalize Across Generative Modelscited by 490
  33. 2022Phenaki: Variable Length Video Generation From Open Domain Textual Descriptioncited by 484
  34. 2022InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutionscited by 482
  35. 2022MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledgecited by 478
  36. 2024ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignmentcited by 475
  37. 2023VideoComposer: Compositional Video Synthesis with Motion Controllabilitycited by 464
  38. 2023Learning Interactive Real-World Simulatorscited by 458

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