Journal: ACM Transactions on Graphics

Abbreviation

ACM trans. graph.

Publisher

Association for Computing Machinery

Journal Volumes

ISSN

0730-0301
1557-7368

Description

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Publications 1 - 10 of 249
  • Star-Shaped Metrics for Mechanical Metamaterial Design
    Item type: Journal Article
    Martínez, Jonàs; Skouras, Mélina; Schumacher, Christian; et al. (2019)
    ACM Transactions on Graphics
  • High-Quality Passive Facial Performance Capture using Anchor Frames
    Item type: Journal Article
    Beeler, Thabo; Hahn, Fabian; Bradley, Derek; et al. (2011)
    ACM Transactions on Graphics
  • Model-Based Teeth Reconstruction
    Item type: Journal Article
    Wu, Chenglei; Bradley, Derek; Garrido, Pablo; et al. (2016)
    ACM Transactions on Graphics
  • Lagrangian Vortex Sheets for Animating Fluids
    Item type: Journal Article
    Pfaff, Tobias; Thuerey, Nils; Gross, Markus (2012)
    ACM Transactions on Graphics
  • Nonlinear disparity mapping for stereoscopic 3D
    Item type: Conference Paper
    Lang, Manuel; Hornung, Alexander; Wang, Oliver; et al. (2010)
    ACM Transactions on Graphics
  • VideoSnapping: Interactive synchronization of multiple videos
    Item type: Journal Article
    Wang, Oliver; Schroers, Christopher; Zimmer, Henning; et al. (2014)
    ACM Transactions on Graphics
  • Generic Objective Vortices for Flow Visualization
    Item type: Journal Article
    Günther, Tobias; Gross, Markus; Theisel, Holger (2017)
    ACM Transactions on Graphics
  • Meshless animation of fracturing solids
    Item type: Conference Paper
    Pauly, Mark; Keiser, Richard; Adams, Bart; et al. (2005)
    ACM Transactions on Graphics
  • GroomCap: High-Fidelity Prior-Free Hair Capture
    Item type: Journal Article
    Zhou, Yuxiao; Chai, Menglei; Wang, Daoye; et al. (2024)
    ACM Transactions on Graphics
    Despite recent advances in multi-view hair reconstruction, achieving strand-level precision remains a significant challenge due to inherent limitations in existing capture pipelines. We introduce GroomCap, a novel multi-view hair capture method that reconstructs faithful and high-fidelity hair geometry without relying on external data priors. To address the limitations of conventional reconstruction algorithms, we propose a neural implicit representation for hair volume that encodes high-resolution 3D orientation and occupancy from input views. This implicit hair volume is trained with a new volumetric 3D orientation rendering algorithm, coupled with 2D orientation distribution supervision, to effectively prevent the loss of structural information caused by undesired orientation blending. We further propose a Gaussian-based hair optimization strategy to refine the traced hair strands with a novel chained Gaussian representation, utilizing direct photometric supervision from images. Our results demonstrate that GroomCap is able to capture high-quality hair geometries that are not only more precise and detailed than existing methods but also versatile enough for a range of applications.
  • High-Quality Single-Shot Capture of Facial Geometry
    Item type: Conference Paper
    Beeler, Thabo; Bickel, Bernd; Beardsley, Paul; et al. (2010)
    ACM Transactions on Graphics
Publications 1 - 10 of 249