DENVER, July 23, 2024 /PRNewswire/ -- Style3D, a
trailblazing force in the fashion technology industry, is thrilled
to announce that an impressive six of its research papers
have been accepted for presentation at the coming ACM SIGGRAPH 2024
conference. This remarkable achievement cements Style3D's position
as a visionary leader in the field, showcasing its revolutionary
research and innovative solutions that are catapulting the fashion
industry into the future.
The papers, which masterfully intertwine graphics and AI
technologies, cover a dazzling array of topics, from elevating
multi-material high-fidelity effects, automating processes using AI
to enhancing 3D effects, and interactions in AR/MR
environments.
These groundbreaking advancements span the entire fashion
industry pipeline, from front-end design to back-end marketing and
display. Excitingly, all these cutting edge research findings will
be seamlessly integrated into Style3D's comprehensive suite of
tools, ensuring that the industry can reap the benefits of these
game-changing innovations.
Below are interpretations of six papers:
- A Dynamic Duo of Finite Elements and Material
Points
This paper introduces a novel approach integrating
the Finite Element Method (FEM) and the Material Point Method (MPM)
to enhance the simulation of multi material systems.
This research lays the foundation for future studies in
multi-material simulation, with potential applications in
simulating protective gear in extreme environments such as
sandy or snowy terrains.
- Automatic Digital Garment Initialization from Sewing
Patterns
With the rapid development of digital fashion and
generative AI technologies, there is a need for an automatic method
to transform digital sewing patterns into well-fitting garments on
mannequins. In this work, Style3D addresses this issue by employing
AI classification, heuristic methods, and numerical optimization,
ultimately developing an innovative automatic garment
initialization system. This system has been partially integrated
into Style3D's products and is expected to further alleviate the
workload of technical designers in creating digital garments.
- Neural-Assisted Homogenization of Yarn-Level
Cloth
Real-world fabrics, composed of yarns and fibers,
exhibit complex stress-strain relationships, posing significant
challenges for homogenization using continuum-based models for
rapid simulation. In this paper, Style3D introduces a neural
homogenization constitutive model specifically designed for
simulating yarn-level fabrics. Style3D is integrating this model
into its product matrix, aiming to improve the accuracy of knitted
fabric simulations in future applications.
- Super-Resolution Cloth Animation with Spatial and Temporal
Coherence
Creating super resolution cloth animations that
add fine wrinkle details to coarse cloth meshes requires
maintaining spatial consistency and temporal coherence across
frames. In this paper, Style3D presents an AI framework designed to
address these issues, featuring a simulation correction
module and a mesh-based super resolution module. This research
enhances 3D detail effects through AI on top of 3D simulations
and is expected to prove valuable in Style3D products with
real-time simulation capabilities, such as Style3D MixMatch.
- High-Quality Surface Reconstruction using Gaussian
Surfers
Style3D introduces a novel point-based
representation—Gaussian surfels—which combines the flexible
optimization capabilities of 3D Gaussian points with the surface
alignment properties of surfels. Experimental results demonstrate
that Style3D's method significantly improves surface reconstruction
performance and shows potential for directly reconstructing digital
garments from handheld devices.
- VR-GS: A Physical Dynamics-Aware Interactive Gaussian
Splatting System in Virtual Reality
In this work, Style3D
introduces the VR GS system, designed to provide a seamless and
intuitive experience for human-centric 3D content interaction in
virtual reality. This system is integrated with Style3D's internal
real time simulation engine, Style3D Simulator, and is expected to
greatly enhance human interaction with digital garments in AR/MR
environments.
Through its "AI+3D+AI" technology powered value chain,
Style3D is spearheading a revolution in the fashion design and
development process, enhancing the connectivity and collaboration
efficiency across the entire industry chain. By turbocharging the
"Concept-to-Consumer" transformation, Style3D is propelling the
fashion industry into a new era of intelligence and efficiency,
leaving onlookers in awe of its relentless pursuit of
innovation.
Style3D will take center stage at the SIGGRAPH 2024 exhibition
(Style3D booth number: 619) from July
30th to August 1st at the Colorado Convention Center. Visitors will be
treated to an exhilarating showcase of Style3D's latest
innovations, offering an exclusive opportunity to witness firsthand
the future of fashion technology.
For any media inquiry, please contact:
marketing@style3d.com
About Style3D
Established in 2015, Style3D specializes
in high-fidelity, realistic cloth simulation for the fashion and
entertainment industries. Style3D offers end-to-end solutions aimed
at enhancing modeling efficiency and ensuring superior animation
quality. To date, over 1,000 companies worldwide have integrated
Style3D products into their workflows. With presentations at
SIGGRAPH and ongoing research, Style3D is committed to delivering
cutting-edge results and AI-driven tools to optimize efficiency and
visual effects.
Photo -
https://mma.prnewswire.com/media/2465414/STYLE3D_SIG_6_Papers.jpg
View original
content:https://www.prnewswire.co.uk/news-releases/style3d-dazzles-at-siggraph-2024-with-6-research-papers-unveiling-the-future-of-fashion-302202440.html