mlsanityData to 7 Oct 2026

Improving the Plausibility of Pressure Distributions Synthesized from Depth Image through Generative Modeling

arXiv 2512.13757 ↗First posted 15 Dec 2025eess.IV cs.CV cs.LGcited by 0

On the map: Diffusion models → Medical imaging and segmentation

Abstract (arXiv)

Monitoring contact pressure in hospital beds is essential for preventing pressure ulcers and enabling real-time patient assessment. Current methods can predict pressure maps but often lack physical plausibility, limiting clinical reliability. This work proposes a framework that enhances plausibility via Informed Latent Space (ILS) and Weight Optimization Loss (WOL) with conditional generative modeling to produce high-fidelity, physically consistent pressure estimates. This study also applies diffusion based conditional Brownian Bridge Diffusion Model (BBDM) and proposes training strategy for its latent counterpart Latent Brownian Bridge Diffusion Model (LBBDM) tailored for pressure synthesis in lying postures. Experiment results shows proposed method improves physical plausibility and performance over baselines: BBDM with ILS delivers highly detailed maps at higher computational cost and large inference time, whereas LBBDM provides faster inference with competitive performance. Overall, the approach supports non-invasive, vision-based, real-time patient monitoring in clinical environments.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Medical imaging and segmentation, one of 14 directions in Diffusion models. Builds on 15 of its 40 references that are in the map. First posted on arXiv 15 Dec 2025.

Builds on

15 of 40 references.

References · 15

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Rethinking the Inception Architecture for Computer Visioncited by 5,451
  3. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
  4. 2021Vector-quantized Image Modeling with Improved VQGANcited by 656
  5. 2019MaskGAN: Towards Diverse and Interactive Facial Image Manipulationcited by 624
  6. 2022BBDM: Image-to-image Translation with Brownian Bridge Diffusion Modelscited by 222
  7. 2021On Self-Contact and Human Posecited by 88
  8. 2016A Formal Evaluation of PSNR as Quality Measurement Parameter for Image Segmentation Algorithmscited by 42
  9. 2020Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Datacited by 34
  10. 2022PressureVision: Estimating Hand Pressure from a Single RGB Imagecited by 23
  11. 2021BodyPressure -- Inferring Body Pose and Contact Pressure from a Depth Imagecited by 20
  12. 2020Multimodal In-bed Pose and Shape Estimation under the Blanketscited by 15
3 more
  1. 2021Towards Accurate Cross-Domain In-Bed Human Pose Estimationcited by 6
  2. 2022Privacy-Preserving In-Bed Pose Monitoring: A Fusion and Reconstruction Studycited by 6
  3. 2022Pressure Eye: In-bed Contact Pressure Estimation via Contact-less Imagingcited by 3

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