mlsanityData to 7 Oct 2026

Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models

arXiv 2402.01877 ↗First posted 2 Feb 2024cs.HC cs.AI cs.LGcited by 0

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

Abstract (arXiv)

The growing digital landscape of fashion e-commerce calls for interactive and user-friendly interfaces for virtually trying on clothes. Traditional try-on methods grapple with challenges in adapting to diverse backgrounds, poses, and subjects. While newer methods, utilizing the recent advances of diffusion models, have achieved higher-quality image generation, the human-centered dimensions of mobile interface delivery and privacy concerns remain largely unexplored. We present Mobile Fitting Room, the first on-device diffusion-based virtual try-on system. To address multiple inter-related technical challenges such as high-quality garment placement and model compression for mobile devices, we present a novel technical pipeline and an interface design that enables privacy preservation and user customization. A usage scenario highlights how our tool can provide a seamless, interactive virtual try-on experience for customers and provide a valuable service for fashion e-commerce businesses.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 22 of its 40 references that are in the map. First posted on arXiv 2 Feb 2024.

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22 of 40 references.

Closest ancestors · 4

Same direction, newest first

  1. 2023WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on6 Dec
  2. 2023StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On4 Dec
  3. 2022SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model9 Dec
  4. 2022RePaint: Inpainting using Denoising Diffusion Probabilistic Models24 Jan

Other references · 18

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  2. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  3. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  4. 2016Overcoming catastrophic forgetting in neural networkscited by 4,718
  5. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
  6. 2022Prompt-to-Prompt Image Editing with Cross Attention Controlcited by 2,409
  7. 2023AnyDoor: Zero-shot Object-level Image Customizationcited by 411
  8. 2023Composer: Creative and Controllable Image Synthesis with Composable Conditionscited by 303
  9. 2021VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalizationcited by 287
  10. 2018Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Datacited by 242
  11. 2023Inpaint Anything: Segment Anything Meets Image Inpaintingcited by 233
  12. 2021Parser-Free Virtual Try-on via Distilling Appearance Flowscited by 142
6 more
  1. 2019On-Device Machine Learning: An Algorithms and Learning Theory Perspectivecited by 63
  2. 2022Machine Learning Model Sizes and the Parameter Gapcited by 39
  3. 2020Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networkscited by 28
  4. 2023Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiencescited by 21
  5. 2017Fast Exact k-Means, k-Medians and Bregman Divergence Clustering in 1Dcited by 13
  6. 2017Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimizationcited by 8

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  2. 2025One Model for All: Unified Try-On and Try-Off in Any Pose via LLM-Inspired Bidirectional Tweedie Diffusion
  3. 2025MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization
  4. 2025Diffusion Model-Based Size Variable Virtual Try-On Technology and Evaluation Method
  5. 2025EfficientVITON: An Efficient Virtual Try-On Model using Optimized Diffusion Process
  6. 2025Undress to Redress: A Training-Free Framework for Virtual Try-On
  7. 2024Self-Supervised Vision Transformer for Enhanced Virtual Clothes Try-On
  8. 2024Improving Diffusion Models for Authentic Virtual Try-on in the Wild