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A new higher-order accurate method is proposed that combines the advantages of the classical $p$-version of the FEM on body-fitted meshes with embedded domain methods. A background mesh composed by higher-order Lagrange elements is used.…

Numerical Analysis · Computer Science 2016-04-04 Samir Omerović , Thomas-Peter Fries

Reliable 3D segmentation is critical for understanding complex scenes with dense layouts and multi-scale objects, as commonly seen in industrial environments. In such scenarios, heavy occlusion weakens geometric boundaries between objects,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Yu Zhu , Naoya Chiba , Koichi Hashimoto

This study advances real-time volumetric cloud rendering in Computer Graphics (CG) by developing a specialized shader in Unreal Engine (UE), focusing on realistic cloud modeling and lighting. By leveraging ray-casting-based lighting…

Graphics · Computer Science 2025-02-13 Shruti Singh , Shantanu Kumar

Recently introduced implicit field representations offer an effective way of generating 3D object shapes. They leverage implicit decoder trained to take a 3D point coordinate concatenated with a shape encoding and to output a value which…

Computer Vision and Pattern Recognition · Computer Science 2021-10-13 Magdalena Proszewska , Marcin Mazur , Tomasz Trzciński , Przemysław Spurek

Searching for a unified scene representation remains a research challenge in computer graphics. Traditional mesh-based representations are unsuitable for dense, fuzzy elements, and introduce additional complexity for filtering and…

Graphics · Computer Science 2024-09-24 Yang Zhou , Songyin Wu , Ling-Qi Yan

Recently, advances in differential volumetric rendering enabled significant breakthroughs in the photo-realistic and fine-detailed reconstruction of complex 3D scenes, which is key for many virtual reality applications. However, in the…

Computer Vision and Pattern Recognition · Computer Science 2022-06-07 Sagie Benaim , Frederik Warburg , Peter Ebert Christensen , Serge Belongie

Extended reality is a fast-growing domain for which there is an increasing need to analyze and understand user behavior. In particular, understanding human visual attention during immersive experiences is crucial for many applications. The…

Human-Computer Interaction · Computer Science 2026-01-13 Charles Javerliat , Guillaume Lavoué

3D semantic segmentation is a fundamental building block for several scene understanding applications such as autonomous driving, robotics and AR/VR. Several state-of-the-art semantic segmentation models suffer from the part…

Computer Vision and Pattern Recognition · Computer Science 2021-11-17 Anirud Thyagharajan , Benjamin Ummenhofer , Prashant Laddha , Om J Omer , Sreenivas Subramoney

Neural implicit fields have emerged as a powerful 3D representation for reconstructing and rendering photo-realistic views, yet they possess limited editability. Conversely, explicit 3D representations, such as polygonal meshes, offer ease…

Computer Vision and Pattern Recognition · Computer Science 2023-12-05 Can Wang , Mingming He , Menglei Chai , Dongdong Chen , Jing Liao

Referring image segmentation is a challenging task that involves generating pixel-wise segmentation masks based on natural language descriptions. The complexity of this task increases with the intricacy of the sentences provided. Existing…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Hai Nguyen-Truong , E-Ro Nguyen , Tuan-Anh Vu , Minh-Triet Tran , Binh-Son Hua , Sai-Kit Yeung

We introduce HexaLab: a WebGL application for real time visualization, exploration and assessment of hexahedral meshes. HexaLab can be used by simply opening www.hexalab.net. Our visualization tool targets both users and scholars.…

Graphics · Computer Science 2019-03-18 Matteo Bracci , Marco Tarini , Nico Pietroni , Marco Livesu , Paolo Cignoni

We introduce the concept of unconstrained real-time 3D facial performance capture through explicit semantic segmentation in the RGB input. To ensure robustness, cutting edge supervised learning approaches rely on large training datasets of…

Computer Vision and Pattern Recognition · Computer Science 2016-04-12 Shunsuke Saito , Tianye Li , Hao Li

State-of-the-art two-stage object detectors apply a classifier to a sparse set of object proposals, relying on region-wise features extracted by RoIPool or RoIAlign as inputs. The region-wise features, in spite of aligning well with the…

Computer Vision and Pattern Recognition · Computer Science 2021-09-01 Zhao-Min Chen , Xin Jin , Borui Zhao , Xiu-Shen Wei , Yanwen Guo

The proposed method extends upon the representational output of semantic instance segmentation by explicitly including both visible and occluded parts. A fully convolutional network is trained to produce consistent pixel-level embedding…

Computer Vision and Pattern Recognition · Computer Science 2020-02-18 Yanfeng Liu , Eric Psota , Lance Pérez

Neural networks have shown great potential in compressing volume data for visualization. However, due to the high cost of training and inference, such volumetric neural representations have thus far only been applied to offline data…

Graphics · Computer Science 2023-07-03 Qi Wu , David Bauer , Michael J. Doyle , Kwan-Liu Ma

A long-standing goal in scene understanding is to obtain interpretable and editable representations that can be directly constructed from a raw monocular RGB-D video, without requiring specialized hardware setup or priors. The problem is…

Computer Vision and Pattern Recognition · Computer Science 2023-06-22 Yu-Shiang Wong , Niloy J. Mitra

With the immersive development in the field of augmented and virtual reality, accurate and speedy eye-tracking is required. Facebook Research has organized a challenge, named OpenEDS Semantic Segmentation challenge for per-pixel…

Computer Vision and Pattern Recognition · Computer Science 2019-10-09 Priya Kansal , Sabari Nathan

The 3D scene editing method based on neural implicit field has gained wide attention. It has achieved excellent results in 3D editing tasks. However, existing methods often blend the interaction between objects and scene environment. The…

Computer Vision and Pattern Recognition · Computer Science 2023-11-02 Zhihong Zeng , Zongji Wang , Yuanben Zhang , Weinan Cai , Zehao Cao , Lili Zhang , Yan Guo , Yanhong Zhang , Junyi Liu

Rendering photorealistic and dynamically moving human heads is crucial for ensuring a pleasant and immersive experience in AR/VR and video conferencing applications. However, existing methods often struggle to model challenging facial…

Computer Vision and Pattern Recognition · Computer Science 2026-02-20 Cong Wang , Di Kang , Yan-Pei Cao , Linchao Bao , Ying Shan , Song-Hai Zhang

Structured meshes, composed of quadrilateral elements in 2D and hexahedral elements in 3D, are widely used in industrial applications and engineering simulations due to their regularity and superior accuracy in finite element analysis.…

Graphics · Computer Science 2026-03-16 Xiaoyang Yu , Canjia Huang , Zhonggui Chen , Juan Cao
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