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Related papers: PhysGen: Physically Grounded 3D Shape Generation f…

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Many real-world objects are designed by smooth curves, especially in the domain of aerospace and ship, where aerodynamic shapes (e.g., airfoils) and hydrodynamic shapes (e.g., hulls) are designed. To facilitate the design process of those…

Machine Learning · Computer Science 2021-01-06 Wei Chen , Mark Fuge

Recent diffusion-based video generation models can synthesize visually plausible videos, yet they often struggle to satisfy physical constraints. A key reason is that most existing approaches remain single-stage: they entangle high-level…

Computer Vision and Pattern Recognition · Computer Science 2026-01-15 Yibo Zhao , Hengjia Li , Xiaofei He , Boxi Wu

Synthesis and reconstruction of 3D human head has gained increasing interests in computer vision and computer graphics recently. Existing state-of-the-art 3D generative adversarial networks (GANs) for 3D human head synthesis are either…

Computer Vision and Pattern Recognition · Computer Science 2023-03-24 Sizhe An , Hongyi Xu , Yichun Shi , Guoxian Song , Umit Ogras , Linjie Luo

Recent generative video models achieve impressive visual quality but remain constrained by limited physical consistency and controllability. Existing video generation methods provide minimal physical control, and single-image-to-3D…

Graphics · Computer Science 2026-05-21 Xin Zhang , Yabo Chen , Yijie Fang , Wanying Qu , Haibin Huang , Chi Zhang , Feng Xu , Xuelong Li

Efficiently generating a freestyle 3D portrait with high quality and 3D-consistency is a promising yet challenging task. The portrait styles generated by most existing methods are usually restricted by their 3D generators, which are learned…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 Tianxiang Ma , Kang Zhao , Jianxin Sun , Yingya Zhang , Jing Dong

Autonomous driving requires robust perception models trained on high-quality, large-scale multi-view driving videos for tasks like 3D object detection, segmentation and trajectory prediction. While world models provide a cost-effective…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Zhuoran Yang , Xi Guo , Chenjing Ding , Chiyu Wang , Wei Wu

3D shape generation is a challenging problem due to the high-dimensional output space and complex part configurations of real-world objects. As a result, existing algorithms experience difficulties in accurate generative modeling of 3D…

Computer Vision and Pattern Recognition · Computer Science 2019-06-11 Salman H. Khan , Yulan Guo , Munawar Hayat , Nick Barnes

Transferring appearance to 3D assets using different representations of the appearance object - such as images or text - has garnered interest due to its wide range of applications in industries like gaming, augmented reality, and digital…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Sayan Deb Sarkar , Sinisa Stekovic , Vincent Lepetit , Iro Armeni

Mechanical product engineering often must comply with manufacturing or geometric constraints related to the shaping process. Mechanical design hence should rely on robust and fast tools to explore complex shapes, typically for design for…

Computational Engineering, Finance, and Science · Computer Science 2020-10-23 Waad Almasri , Dimitri Bettebghor , Fakhreddine Ababsa , Florence Danglade

Since diffusion models (DM) and the more recent Poisson flow generative models (PFGM) are inspired by physical processes, it is reasonable to ask: Can physical processes offer additional new generative models? We show that the answer is…

Machine Learning · Computer Science 2023-04-06 Ziming Liu , Di Luo , Yilun Xu , Tommi Jaakkola , Max Tegmark

Recent works on text-to-3d generation show that using only 2D diffusion supervision for 3D generation tends to produce results with inconsistent appearances (e.g., faces on the back view) and inaccurate shapes (e.g., animals with extra…

Computer Vision and Pattern Recognition · Computer Science 2024-03-15 Cheng Chen , Xiaofeng Yang , Fan Yang , Chengzeng Feng , Zhoujie Fu , Chuan-Sheng Foo , Guosheng Lin , Fayao Liu

This paper proposes ShapeShifter, a new 3D generative model that learns to synthesize shape variations based on a single reference model. While generative methods for 3D objects have recently attracted much attention, current techniques…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Nissim Maruani , Wang Yifan , Matthew Fisher , Pierre Alliez , Mathieu Desbrun

We present ElastoGen, a knowledge-driven AI model that generates physically accurate 4D elastodynamics. Unlike deep models that learn from video- or image-based observations, ElastoGen leverages the principles of physics and learns from…

Machine Learning · Computer Science 2025-11-12 Yutao Feng , Yintong Shang , Xiang Feng , Lei Lan , Shandian Zhe , Tianjia Shao , Hongzhi Wu , Kun Zhou , Chenfanfu Jiang , Yin Yang

In controllable driving-scene reconstruction and 3D scene generation, maintaining geometric fidelity while synthesizing visually plausible appearance under large viewpoint shifts is crucial. However, effective fusion of geometry-based 3DGS…

Computer Vision and Pattern Recognition · Computer Science 2025-11-27 YuAn Wang , Xiaofan Li , Chi Huang , Wenhao Zhang , Hao Li , Bosheng Wang , Xun Sun , Jun Wang

This paper presents a new text-guided technique for generating 3D shapes. The technique leverages a hybrid 3D shape representation, namely EXIM, combining the strengths of explicit and implicit representations. Specifically, the explicit…

Computer Vision and Pattern Recognition · Computer Science 2023-12-01 Zhengzhe Liu , Jingyu Hu , Ka-Hei Hui , Xiaojuan Qi , Daniel Cohen-Or , Chi-Wing Fu

Recent developments in generative models and large-scale datasets have substantially advanced 3D world generation, facilitating a broad range of domains including spatial intelligence, embodied intelligence, and autonomous driving. While…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Hanxin Zhu , Cong Wang , Peiyan Tu , Jiayi Luo , Tianyu He , Xin Jin , Zhibo Chen

The current design of aerodynamic shapes, like airfoils, involves computationally intensive simulations to explore the possible design space. Usually, such design relies on the prior definition of design parameters and places restrictions…

Computational Engineering, Finance, and Science · Computer Science 2023-07-07 Yuyang Wang , Kenji Shimada , Amir Barati Farimani

Text-to-image generative models have increasingly been used to assist designers during concept generation in various creative domains, such as graphic design, user interface design, and fashion design. However, their applications in…

Artificial Intelligence · Computer Science 2024-07-23 Leah Chong , Jude Rayan , Steven Dow , Ioanna Lykourentzou , Faez Ahmed

We consider the task of generating realistic 3D shapes, which is useful for a variety of applications such as automatic scene generation and physical simulation. Compared to other 3D representations like voxels and point clouds, meshes are…

Graphics · Computer Science 2023-04-18 Zhen Liu , Yao Feng , Michael J. Black , Derek Nowrouzezahrai , Liam Paull , Weiyang Liu

The advancement of 4D (i.e., sequential 3D) generation opens up new possibilities for lifelike experiences in various applications, where users can explore dynamic objects or characters from any viewpoint. Meanwhile, video generative models…

Graphics · Computer Science 2025-04-08 Yikai Wang , Guangce Liu , Xinzhou Wang , Zilong Chen , Jiafang Li , Xin Liang , Fuchun Sun , Jun Zhu
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