mlsanityData to 14 Oct 2026

Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce

arXiv 2408.12392 ↗First posted 22 Aug 2024cs.IRcited by 8

On the map: Diffusion models → 3D, point cloud and scene generation

Abstract (arXiv)

Coupling latent diffusion based image generation with contextual bandits enables the creation of eye-catching personalized product images at scale that was previously either impossible or too expensive. In this paper we showcase how we utilized these technologies to increase user engagement with recommendations in online retargeting campaigns for e-commerce.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 1 of its 7 references that are in the map. First posted on arXiv 22 Aug 2024.

Builds on

1 of 7 references.

References · 1

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 4; 2026: 3.

8 papers.

  1. 2024A Survey on Diffusion Models for Recommender Systemscited by 20
  2. 2025A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigmscited by 17
  3. 2025Diffusion Models in Recommendation Systems: A Surveycited by 3
  4. 2025HLLM-Creator: Hierarchical LLM-based Personalized Creative Generationcited by 3
  5. 2025Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Itemscited by 1
  6. 2026I Am AdMan: A Pipeline for Automatic Generation of Personalized Advertising Imagerycited by 0
  7. 2026Enabling and Understanding Personalization in AI-Generated Advertising Imagerycited by 0
  8. 2026Personalized Image Generation with Reasoning and Reflectioncited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2023Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style
  2. 2024Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners
  3. 2025Personalized Image Generation for Recommendations Beyond Catalogs
  4. 2026A Cascaded Generative Approach for e-Commerce Recommendations
  5. 2025Generate, Not Recommend: Personalized Multimodal Content Generation
  6. 2023AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting
  7. 2025Preserving Product Fidelity in Large Scale Image Recontextualization with Diffusion Models
  8. 2024Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All