mlsanityData to 7 Oct 2026

Imagen 3

arXiv 2408.07009 ↗First posted 13 Aug 2024cs.CVcited by 26

On the map: Diffusion models → Image generation, text-to-image and editing

Abstract (arXiv)

We introduce Imagen 3, a latent diffusion model that generates high quality images from text prompts. We describe our quality and responsibility evaluations. Imagen 3 is preferred over other state-of-the-art (SOTA) models at the time of evaluation. In addition, we discuss issues around safety and representation, as well as methods we used to minimize the potential harm of our models.

Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. First posted on arXiv 13 Aug 2024.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 13; 2026: 10.

26 papers.

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  1. 2025Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformercited by 247
  2. 2025TIIF-Bench: How Does Your T2I Model Follow Your Instructions?cited by 64
  3. 2025ACE-Step: A Step Towards Music Generation Foundation Modelcited by 54
  4. 2025RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulationcited by 24
  5. 2025UniVG: A Generalist Diffusion Model for Unified Image Generation and Editingcited by 19
  6. 2024OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalitiescited by 13
  7. 2025Text-to-Image Diffusion Models Cannot Count, and Prompt Refinement Cannot Helpcited by 12
  8. 2025HueManity: Probing Fine-Grained Visual Perception in MLLMscited by 9
  9. 2025Exploiting Leaderboards for Large-Scale Distribution of Malicious Modelscited by 5
  10. 2025Locality-Aware Continual Unlearning for Diffusion Modelscited by 5
  11. 2024ChatDiT: A Training-Free Baseline for Task-Agnostic Free-Form Chatting with Diffusion Transformerscited by 4
  12. 2025HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detectioncited by 4
14 more
  1. 2025Med-Art: Diffusion Transformer for 2D Medical Text-to-Image Generationcited by 3
  2. 2025Training-free Source Attribution of AI-generated Images via Resynthesiscited by 3
  3. 2026TexTailor: Inference-Time Textual Guidance Tailoring for Multimodal Diffusion Transformerscited by 3
  4. 2024Exploring Gen-AI applications in building research and industry: A reviewcited by 2
  5. 2026WorldAgents: Can Foundation Image Models be Agents for 3D World Models?cited by 2
  6. 2026Non-Markov Multi-Round Conversational Image Generation with History-Conditioned MLLMscited by 1
  7. 2026Generalizing Score-based generative models for Heavy-tailed Distributionscited by 1
  8. 2025InpaintDPO: Mitigating Spatial Relationship Hallucinations in Foreground-conditioned Inpainting via Diverse Preference Optimizationcited by 0
  9. 2026LivingWorld: Interactive 4D World Generation with Environmental Dynamicscited by 0
  10. 2026Embedding Arithmetic: A Lightweight, Tuning-Free Framework for Post-hoc Bias Mitigation in Text-to-Image Modelscited by 0
  11. 2026DreamEdit3D: Personalization of Multi-View Diffusion Models for 3D Editingcited by 0
  12. 2026Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weightingcited by 0
  13. 2026Diagnosing Aerial-View Object Detectors with Foundational Image Generative Modelscited by 0
  14. 2026Layering Virtual Try-Oncited by 0

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  1. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
  2. 2024Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation
  3. 2023Synthetic Data from Diffusion Models Improves ImageNet Classification
  4. 2023A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
  5. 2023CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models
  6. 2026ImageRAGTurbo: Towards One-step Text-to-Image Generation with Retrieval-Augmented Diffusion Models
  7. 2025Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation
  8. 2024InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization