Unsupervised 3D Braided Hair Reconstruction from a Single-View Image

• URL: http://arxiv.org/abs/2506.23072v1
• Date: Sun, 29 Jun 2025 03:23:06 GMT
• Title: Unsupervised 3D Braided Hair Reconstruction from a Single-View Image
• Authors: Jing Gao,
• Abstract summary: Reconstructing 3D braided hairstyles from single-view images remains a challenging task due to the intricate interwoven structure and complex topologies of braids.<n>Existing strand-based hair reconstruction methods typically focus on loose hairstyles and often struggle to capture the fine-grained geometry of braided hair.<n>We propose a novel unsupervised pipeline for efficiently reconstructing 3D braided hair from single-view RGB images.
• Score: 7.866458441640936
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Reconstructing 3D braided hairstyles from single-view images remains a challenging task due to the intricate interwoven structure and complex topologies of braids. Existing strand-based hair reconstruction methods typically focus on loose hairstyles and often struggle to capture the fine-grained geometry of braided hair. In this paper, we propose a novel unsupervised pipeline for efficiently reconstructing 3D braided hair from single-view RGB images. Leveraging a synthetic braid model inspired by braid theory, our approach effectively captures the complex intertwined structures of braids. Extensive experiments demonstrate that our method outperforms state-of-the-art approaches, providing superior accuracy, realism, and efficiency in reconstructing 3D braided hairstyles, supporting expressive hairstyle modeling in digital humans.

Related papers

• DiffLocks: Generating 3D Hair from a Single Image using Diffusion Models [53.08138861924767]
  We propose DiffLocks, a novel framework that enables reconstruction of a wide variety of hairstyles directly from a single image.<n>First, we address the lack of 3D hair data by automating the creation of the largest synthetic hair dataset to date, containing 40K hairstyles.<n>By using a pretrained image backbone, our method generalizes to in-the-wild images despite being trained only on synthetic data.
  arXiv  Detail & Related papers  (2025-05-09T16:16:42Z)
• GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling [56.94251484447597]
  GroomLight is a novel method for relightable hair appearance modeling from multi-view images.<n>We propose a hybrid inverse rendering pipeline to optimize both components, enabling high-fidelity relighting, view synthesis, and material editing.
  arXiv  Detail & Related papers  (2025-03-13T17:43:12Z)
• GarmentCrafter: Progressive Novel View Synthesis for Single-View 3D Garment Reconstruction and Editing [85.67881477813592]
  GarmentCrafter is a new approach that enables non-professional users to create and modify 3D garments from a single-view image.<n>Our method achieves superior visual fidelity and inter-view coherence compared to state-of-the-art single-view 3D garment reconstruction methods.
  arXiv  Detail & Related papers  (2025-03-11T17:56:03Z)
• TANGLED: Generating 3D Hair Strands from Images with Arbitrary Styles and Viewpoints [38.95048174663582]
  Existing text or image-guided generation methods fail to handle the richness and complexity of diverse styles.<n>We present TANGLED, a novel approach for 3D hair strand generation that accommodates diverse image inputs across styles, viewpoints, and quantities of input views.
  arXiv  Detail & Related papers  (2025-02-10T12:26:02Z)
• FaceLift: Learning Generalizable Single Image 3D Face Reconstruction from Synthetic Heads [54.24070918942727]
  We present FaceLift, a novel feed-forward approach for high-quality 360-degree 3D head reconstruction from a single image.<n>Our pipeline first employs a multi-view latent diffusion model to generate consistent side and back views from a single input.<n>We show that FaceLift outperforms state-of-the-art 3D face reconstruction methods on identity preservation, detail recovery, and rendering quality.
  arXiv  Detail & Related papers  (2024-12-23T18:59:49Z)
• Towards Unified 3D Hair Reconstruction from Single-View Portraits [27.404011546957104]
  We propose a novel strategy to enable single-view 3D reconstruction for a variety of hair types via a unified pipeline. Our experiments demonstrate that reconstructing braided and un-braided 3D hair from single-view images via a unified approach is possible.
  arXiv  Detail & Related papers  (2024-09-25T12:21:31Z)
• Human Hair Reconstruction with Strand-Aligned 3D Gaussians [39.32397354314153]
  We introduce a new hair modeling method that uses a dual representation of classical hair strands and 3D Gaussians. In contrast to recent approaches that leverage unstructured Gaussians to model human avatars, our method reconstructs the hair using 3D polylines, or strands. Our method, named Gaussian Haircut, is evaluated on synthetic and real scenes and demonstrates state-of-the-art performance in the task of strand-based hair reconstruction.
  arXiv  Detail & Related papers  (2024-09-23T07:49:46Z)
• Perm: A Parametric Representation for Multi-Style 3D Hair Modeling [22.790597419351528]
  Perm is a learned parametric representation of human 3D hair designed to facilitate various hair-related applications.<n>We leverage our strand representation to fit and decompose hair geometry textures into low- to high-frequency hair structures.
  arXiv  Detail & Related papers  (2024-07-28T10:05:11Z)
• HAAR: Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles [85.12672855502517]
  We present HAAR, a new strand-based generative model for 3D human hairstyles. Based on textual inputs, HAAR produces 3D hairstyles that could be used as production-level assets in modern computer graphics engines.
  arXiv  Detail & Related papers  (2023-12-18T19:19:32Z)
• Generalizable One-shot Neural Head Avatar [90.50492165284724]
  We present a method that reconstructs and animates a 3D head avatar from a single-view portrait image. We propose a framework that not only generalizes to unseen identities based on a single-view image, but also captures characteristic details within and beyond the face area.
  arXiv  Detail & Related papers  (2023-06-14T22:33:09Z)
• Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction [4.714310894654027]
  This work proposes an approach capable of accurate hair geometry reconstruction at a strand level from a monocular video or multi-view images captured in uncontrolled conditions. The combined system, named Neural Haircut, achieves high realism and personalization of the reconstructed hairstyles.
  arXiv  Detail & Related papers  (2023-06-09T13:08:34Z)
• Neural 3D Reconstruction in the Wild [86.6264706256377]
  We introduce a new method that enables efficient and accurate surface reconstruction from Internet photo collections. We present a new benchmark and protocol for evaluating reconstruction performance on such in-the-wild scenes.
  arXiv  Detail & Related papers  (2022-05-25T17:59:53Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.