mlsanityData to 14 Oct 2026

GenPalm: Contactless Palmprint Generation with Diffusion Models

arXiv 2406.00287 ↗First posted 1 Jun 2024cs.CV cs.AIcited by 2

On the map: Diffusion models → Robustness, privacy and adversarial aspects

Abstract (arXiv)

The scarcity of large-scale palmprint databases poses a significant bottleneck to advancements in contactless palmprint recognition. To address this, researchers have turned to synthetic data generation. While Generative Adversarial Networks (GANs) have been widely used, they suffer from instability and mode collapse. Recently, diffusion probabilistic models have emerged as a promising alternative, offering stable training and better distribution coverage. This paper introduces a novel palmprint generation method using diffusion probabilistic models, develops an end-to-end framework for synthesizing multiple palm identities, and validates the realism and utility of the generated palmprints. Experimental results demonstrate the effectiveness of our approach in generating palmprint images which enhance contactless palmprint recognition performance across several test databases utilizing challenging cross-database and time-separated evaluation protocols.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Placed in Robustness, privacy and adversarial aspects, one of 14 directions in Diffusion models. Builds on 23 of its 54 references that are in the map. First posted on arXiv 1 Jun 2024.

Builds on

23 of 54 references.

Closest ancestors · 1

Same direction, newest first

  1. 2024Universal Fingerprint Generation: Controllable Diffusion Model with Multimodal Conditions21 Apr

Other references · 22

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  3. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  4. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  5. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,255
  6. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,503
  7. 2016SGDR: Stochastic Gradient Descent with Warm Restartscited by 5,045
  8. 2021Improved Denoising Diffusion Probabilistic Modelscited by 3,761
  9. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,300
  10. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,245
  11. 2021Blended Diffusion for Text-driven Editing of Natural Imagescited by 927
  12. 2024InstantID: Zero-shot Identity-Preserving Generation in Secondscited by 436
10 more
  1. 2023PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embeddingcited by 328
  2. 2023DCFace: Synthetic Face Generation with Dual Condition Diffusion Modelcited by 116
  3. 2023Collaborative Diffusion for Multi-Modal Face Generation and Editingcited by 116
  4. 2022Latent Diffusion Energy-Based Model for Interpretable Text Modelingcited by 67
  5. 201711K Hands: Gender recognition and biometric identification using a large dataset of hand imagescited by 46
  6. 2019Palmprint Recognition in Uncontrolled and Uncooperative Environmentcited by 14
  7. 2023RPG-Palm: Realistic Pseudo-data Generation for Palmprint Recognitioncited by 7
  8. 2024Mobile Contactless Palmprint Recognition: Use of Multiscale, Multimodel Embeddingscited by 5
  9. 2023Child Palm-ID: Contactless Palmprint Recognition for Childrencited by 2
  10. 2020Palm-GAN: Generating Realistic Palmprint Images Using Total-Variation Regularized GANcited by 1

Built on by

Cited by year

Citing papers per year: 2025: 2.

2 papers.

  1. 2025Diff-Palm: Realistic Palmprint Generation with Polynomial Creases and Intra-Class Variation Controllable Diffusion Modelscited by 3
  2. 2025Generating Realistic Forehead-Creases for User Verification via Conditioned Piecewise Polynomial Curvescited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024DiffFinger: Advancing Synthetic Fingerprint Generation through Denoising Diffusion Probabilistic Models
  2. 2025Palmprint De-Identification Using Diffusion Model for High-Quality and Diverse Synthesis
  3. 2024Annotated Hands for Generative Models
  4. 2024Enhancing Fingerprint Image Synthesis with GANs, Diffusion Models, and Style Transfer Techniques
  5. 2024HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances
  6. 2026Intra-finger Variability of Diffusion-based Latent Fingerprint Generation
  7. 2025HanDrawer: Leveraging Spatial Information to Render Realistic Hands Using a Conditional Diffusion Model in Single Stage
  8. 2020Diffusion models for Handwriting Generation