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Probabilistic denoising diffusion models (DDMs) have set a new standard for 2D image generation. Extending DDMs for 3D content creation is an active field of research. Here, we propose TetraDiffusion, a diffusion model that operates on a…

Computer Vision and Pattern Recognition · Computer Science 2024-08-12 Nikolai Kalischek , Torben Peters , Jan D. Wegner , Konrad Schindler

The photorealistic reconstruction and rendering of architectural scenes have extensive applications in industries such as film, games, and transportation. It also plays an important role in urban planning, architectural design, and the…

Computer Vision and Pattern Recognition · Computer Science 2024-09-27 Ruizhe Wang , Chunliang Hua , Tomakayev Shingys , Mengyuan Niu , Qingxin Yang , Lizhong Gao , Yi Zheng , Junyan Yang , Qiao Wang

In this paper, we propose a transformer-based procedure for the efficient registration of non-rigid 3D point clouds. The proposed approach is data-driven and adopts for the first time the transformer architecture in the registration task.…

Computer Vision and Pattern Recognition · Computer Science 2021-06-29 Giovanni Trappolini , Luca Cosmo , Luca Moschella , Riccardo Marin , Simone Melzi , Emanuele Rodolà

3D printing has revolutionized the manufacturing of volumetric components and structures for various fields. Thanks to the advent of photocurable resins, several fully volumetric light-based techniques have been recently developed to…

Applied Physics · Physics 2023-07-13 Antoine Boniface , Florian Maitre , Jorge Madrid-Wolff , Christophe Moser

3D printing has progressed significantly, allowing objects to be produced using a wide variety of materials. Recent advances have employed focused ultrasound in 3D printing, to allow printing inside acoustically transparent materials. Here…

We explore the pressure of active particles on curved surfaces and its relation to other interfacial properties. We use both direct simulations of the active systems as well as simulations of an equilibrium system with effective (pair)…

Soft Condensed Matter · Physics 2019-05-14 René Wittmann , Frank Smallenburg , Joseph M. Brader

Utilizing synthetic dimensions generated by spatial or temporal modulation, topological pumping enables the exploration of higher-dimensional topological phenomena through lower-dimensional physical systems. In this letter, we propose a…

Other Condensed Matter · Physics 2024-04-24 Xianggui Ding , Zongliang Du , Jiachen Luo , Hui Chen , Zhenqun Guan , Xu Guo

Additive manufacturing, or 3D printing, is a complex process that creates free-form geometric objects by sequentially placing material to construct an object, usually in a layer-by-layer process. One of the most widely used methods is Fused…

Robotics · Computer Science 2025-10-24 Travis A. Roberts , Sourabh Karmakar , Cameron J. Turner

We propose a novel framework that enhances non-rigid 3D model deformations by bridging mesh representations with 3D Gaussian splatting. While traditional Gaussian splatting delivers fast, real-time radiance-field rendering, its post-editing…

Graphics · Computer Science 2025-07-10 Wijayathunga W. M. R. D. B

3D Gaussian Splatting (3DGS) has recently gained popularity for efficient scene rendering by representing scenes as explicit sets of anisotropic 3D Gaussians. However, most existing work focuses primarily on modeling external surfaces. In…

Image and Video Processing · Electrical Eng. & Systems 2026-01-12 Shuxin Liang , Yihan Xiao , Wenlu Tang

This paper is focused on the question of simulation and visualiza- tion of 3D gel and paste dynamic effects. In a first part, we introduce a 3D physically based particle (or mass-interaction) model, with a small number of masses and few…

Graphics · Computer Science 2010-05-31 Claire Guilbaud , Annie Luciani , Nicolas Castagné

Image-based 3D scene reconstruction, which transforms multi-view images into a structured 3D representation of the surrounding environment, is a common task across many modern applications. 3D Gaussian Splatting (3DGS) is a new paradigm to…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Md Musfiqur Rahman Sanim , Zhihao Shu , Bahram Afsharmanesh , AmirAli Mirian , Jiexiong Guan , Wei Niu , Bin Ren , Gagan Agrawal

Additive Manufacturing (AM), a.k.a. 3D Printing, is increasingly used to manufacture functional parts of safety-critical systems. AM's dependence on computerization raises the concern that the AM process can be tampered with, and a part's…

Cryptography and Security · Computer Science 2017-09-07 Samuel B. Moore , Jacob Gatlin , Sofia Belikovetsky , Mark Yampolskiy , Wayne E. King , Yuval Elovici

This paper introduces an algorithm to generate a 3D extruder path, combining classic planar and non-planar layers to enhance the surface quality and accuracy of complex 3D printed parts. Material extrusion 3D printing, due to its…

Computational Geometry · Computer Science 2024-11-12 Shadman Tajwar Shahid

The growing need for creating surfaces with specific wetting properties, such as superhyrdophobic behavior, asks for novel methods for their efficient design. In this work, a fast computational method for the evaluation of patterned…

Applied Physics · Physics 2019-01-31 V. Krokos , G. Pashos , A. N. Spyropoulos , G. Kokkoris , A. G. Papathanasiou , A. G. Boudouvis

Using a multi-layered printed circuit board, we propose a 3D architecture suitable for packaging supercon- ducting chips, especially chips that contain two-dimensional qubit arrays. In our proposed architecture, the center strips of the…

Quantum Physics · Physics 2017-06-12 Qiang Liu , Mengmeng Li , Kunzhe Dai , Ke Zhang , Guangming Xue , Xinsheng Tan , Haifeng Yu , Yang Yu

We generalize to three dimensions (3D) a recently developed improved multi-component pseudopotential lattice Boltzmann method and analyze its applicability to simulate flows through realistic porous media. The model is validated and…

Fluid Dynamics · Physics 2022-10-04 M. Sedahmed , R. C. V. Coelho , N. A. M. Araújo , E. M. Wahba , H. A. Warda

Examples of fluid flows driven by undulating boundaries are found in nature across many different length scales. Even though different driving mechanisms have evolved in distinct environments, they perform essentially the same function:…

In simulation-based engineering design with time-consuming simulators, Gaussian process (GP) models are widely used as fast emulators to speed up the design optimization process. In its most commonly used form, the input of GP is a simple…

Machine Learning · Computer Science 2024-07-24 Xi Chen , Yashika Sharma , Hao Helen Zhang , Xin Hao , Qiang Zhou

Future complementary metal oxide semiconductor (CMOS) scaling for advanced integrated circuit (IC) technologies may well depend on "More than Moore" (MtM) approaches using heterogeneous integration of semiconductor-based devices. In order…

Materials Science · Physics 2012-04-09 J. Stopford , A. Henry , D. Allen , N. Bennett , D. Manessis , L. Boettcher , J. Wittge , A. N. Danilewsky , P. J. McNally
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