mlsanityData to 7 Oct 2026

GPIC: A Giant Permissive Image Corpus for Visual Generation

arXiv 2605.30341 ↗First posted 28 May 2026cs.CV cs.AIcited by 5

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Abstract (arXiv)

Studying scalable methods for visual generative modeling requires large, accessible, and stable datasets. We introduce GPIC, a Giant Permissive Image Corpus of approximately 28 trillion pixels. GPIC comprises diverse internet images captioned by a state-of-the-art vision-language model, including 100M training, 200K validation, and 1M test examples. Moreover, all GPIC images are permissively licensed for both research and commercial use. GPIC is safety-filtered, deduplicated, and centrally hosted on Hugging Face. We provide a benchmarking protocol for generative modeling on GPIC. Finally, we provide a reference baseline for pixel-space flow matching on GPIC. Our dataset, benchmark, and models are available at https://huggingface.co/datasets/stanford-vision-lab/gpic. Evaluation toolkit and code are available at https://gpic.stanford.edu

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 22 of its 42 references that are in the map. First posted on arXiv 28 May 2026.

Builds on

22 of 42 references.

References · 22

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  2. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  3. 2022Scalable Diffusion Models with Transformerscited by 5,931
  4. 2023Efficient Memory Management for Large Language Model Serving with PagedAttentioncited by 5,767
  5. 2017Neural Discrete Representation Learningcited by 4,650
  6. 2014Going Deeper with Convolutionscited by 4,231
  7. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,131
  8. 2020Taming Transformers for High-Resolution Image Synthesiscited by 3,229
  9. 2023Sigmoid Loss for Language Image Pre-Trainingcited by 3,048
  10. 2018Large Scale GAN Training for High Fidelity Natural Image Synthesiscited by 2,609
  11. 2025Wan: Open and Advanced Large-Scale Video Generative Modelscited by 2,536
  12. 2023SGLang: Efficient Execution of Structured Language Model Programscited by 1,107
10 more
  1. 2024Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Predictioncited by 1,005
  2. 2019Improved Precision and Recall Metric for Assessing Generative Modelscited by 925
  3. 2024WorldSimBench: Towards Video Generation Models as World Simulatorscited by 867
  4. 2020Reliable Fidelity and Diversity Metrics for Generative Modelscited by 425
  5. 2018Assessing Generative Models via Precision and Recallcited by 401
  6. 2025Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Modelscited by 376
  7. 2023Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion modelscited by 199
  8. 2022A Self-Supervised Descriptor for Image Copy Detectioncited by 175
  9. 2024Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusioncited by 74
  10. 2026Qwen-Image-VAE-2.0 Technical Reportcited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 5.

5 papers.

  1. 2026GEAR: Guided End-to-End AutoRegression for Image Synthesiscited by 1
  2. 2026Scaling Muon for Diffusion Transformerscited by 1
  3. 2026Puffin-World: Scaling a Unified Multimodal Model with Native 3D World Statescited by 0
  4. 2026Visualizing Distribution Coverage in Generative Diffusion Modelscited by 0
  5. 2026Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spacescited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Generative AI for Vision: A Comprehensive Study of Frameworks and Applications
  2. 2025LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization
  3. 2025Visual Generation Tuning
  4. 2023MAGVLT: Masked Generative Vision-and-Language Transformer
  5. 2025There is No VAE: End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-training
  6. 2025ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation
  7. 2026Vision2Code: A Multi-Domain Benchmark for Evaluating Image-to-Code Generation
  8. 2024Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation