mlsanityData to 7 Oct 2026

Attribute2Image: Conditional Image Generation from Visual Attributes

arXiv 1512.00570 ↗First posted 2 Dec 2015cs.LG cs.AI cs.CVcited by 93

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Abstract (arXiv)

This paper investigates a novel problem of generating images from visual attributes. We model the image as a composite of foreground and background and develop a layered generative model with disentangled latent variables that can be learned end-to-end using a variational auto-encoder. We experiment with natural images of faces and birds and demonstrate that the proposed models are capable of generating realistic and diverse samples with disentangled latent representations. We use a general energy minimization algorithm for posterior inference of latent variables given novel images. Therefore, the learned generative models show excellent quantitative and visual results in the tasks of attribute-conditioned image reconstruction and completion.

Key facts. Cited by 93 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Dec 2015.

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Citing papers per year: 2019: 1; 2020: 0; 2021: 27; 2022: 20; 2023: 12; 2024: 18; 2025: 9; 2026: 6.

93 papers.

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  1. 2023StyleDrop: Text-to-Image Generation in Any Stylecited by 197
  2. 2019Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Modelscited by 177
  3. 2021Illiterate DALL-E Learns to Composecited by 147
  4. 2024OneRestore: A Universal Restoration Framework for Composite Degradationcited by 91
  5. 2023A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?cited by 84
  6. 2021A Latent Transformer for Disentangled Face Editing in Images and Videoscited by 67
  7. 2021Stochastic Image-to-Video Synthesis using cINNscited by 49
  8. 2021iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesiscited by 42
  9. 2024FaceXFormer: A Unified Transformer for Facial Analysiscited by 34
  10. 2023Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problemscited by 28
  11. 2021Where and What? Examining Interpretable Disentangled Representationscited by 27
  12. 2021Commutative Lie Group VAE for Disentanglement Learningcited by 27
38 more
  1. 2021Sign Language Production: A Reviewcited by 26
  2. 2024Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agentscited by 26
  3. 2022GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimationcited by 24
  4. 2021Creativity and Machine Learning: A Surveycited by 21
  5. 2021Conditional GANs with Auxiliary Discriminative Classifiercited by 20
  6. 2022A Personalized Dialogue Generator with Implicit User Persona Detectioncited by 19
  7. 2021Generating Relevant and Coherent Dialogue Responses using Self-separated Conditional Variational AutoEncoderscited by 18
  8. 2024CoMA: Compositional Human Motion Generation with Multi-modal Agentscited by 18
  9. 2024Conditional LoRA Parameter Generationcited by 16
  10. 2023ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectoriescited by 14
  11. 2025Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Modelscited by 12
  12. 2021AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Stylecited by 11
  13. 2024Discriminative Probing and Tuning for Text-to-Image Generationcited by 11
  14. 2021Dungeon and Platformer Level Blending and Generation using Conditional VAEscited by 10
  15. 2021Graphine: A Dataset for Graph-aware Terminology Definition Generationcited by 10
  16. 2022EmpHi: Generating Empathetic Responses with Human-like Intentscited by 9
  17. 2023Testing for the Markov Property in Time Series via Deep Conditional Generative Learningcited by 9
  18. 2024Closed-Loop Unsupervised Representation Disentanglement with β-VAE Distillation and Diffusion Probabilistic Feedbackcited by 9
  19. 2024Evaluating Hallucination in Text-to-Image Diffusion Models with Scene-Graph based Question-Answering Agentcited by 9
  20. 2021Deep Image Synthesis from Intuitive User Input: A Review and Perspectivescited by 8
  21. 2022All You Need In Sign Language Productioncited by 8
  22. 2023Face Identity-Aware Disentanglement in StyleGANcited by 8
  23. 2021Few-shot Font Generation with Weakly Supervised Localized Representationscited by 7
  24. 2024Detours for Navigating Instructional Videoscited by 7
  25. 2024Creativity in AI: Progresses and Challengescited by 7
  26. 2025ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusioncited by 6
  27. 2021PluGeN: Multi-Label Conditional Generation From Pre-Trained Modelscited by 5
  28. 2022Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variablescited by 5
  29. 2022Quantile Off-Policy Evaluation via Deep Conditional Generative Learningcited by 5
  30. 2024Text-to-Image Cross-Modal Generation: A Systematic Reviewcited by 5
  31. 2024Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancementcited by 5
  32. 2021Large-Scale Attribute-Object Compositionscited by 4
  33. 2021CAFLOW: Conditional Autoregressive Flowscited by 4
  34. 2021CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generationcited by 4
  35. 20223D Brain and Heart Volume Generative Models: A Surveycited by 4
  36. 2022IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoningcited by 3
  37. 2022A comprehensive survey on semantic facial attribute editing using generative adversarial networkscited by 3
  38. 2022Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networkscited by 3

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