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We present a novel methodology based on geometric approach to simulate magnification lens effects. Our aim is to promote new applications of powerful geometric modeling techniques in visual computing. Conventional image…

Graphics · Computer Science 2013-08-05 Bo Li , Xin Zhao

We propose a diffusion model designed to generate point-based shape representations with correspondences. Traditional statistical shape models have considered point correspondences extensively, but current deep learning methods do not take…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Shen Zhu , Yinzhu Jin , Ifrah Zawar , P. Thomas Fletcher

With the recent advances in hardware and rendering techniques, 3D models have emerged everywhere in our life. Yet creating 3D shapes is arduous and requires significant professional knowledge. Meanwhile, Deep learning has enabled…

Computer Vision and Pattern Recognition · Computer Science 2023-03-07 Zhiqin Chen

Rendering novel view images is highly desirable for many applications. Despite recent progress, it remains challenging to render high-fidelity and view-consistent novel views of large-scale scenes from in-the-wild images with inevitable…

Computer Vision and Pattern Recognition · Computer Science 2023-07-11 Peng Dai , Yinda Zhang , Xin Yu , Xiaoyang Lyu , Xiaojuan Qi

Understanding spatial relations (e.g., "laptop on table") in visual input is important for both humans and robots. Existing datasets are insufficient as they lack large-scale, high-quality 3D ground truth information, which is critical for…

Computer Vision and Pattern Recognition · Computer Science 2020-12-04 Ankit Goyal , Kaiyu Yang , Dawei Yang , Jia Deng

Augmented reality aims to enrich our real world by inserting 3D virtual objects. In order to accomplish this goal, it is important that virtual elements are rendered and aligned in the real scene in an accurate and visually acceptable way.…

Computer Vision and Pattern Recognition · Computer Science 2018-06-26 Hayet Belghit , Abdelkader Bellarbi , Nadia Zenati , Samir Otmane

For objected detection, the availability of color cues strongly influences detection rates and is even a prerequisite for many methods. However, when training on synthetic CAD data, this information is not available. We therefore present a…

Computer Vision and Pattern Recognition · Computer Science 2019-12-16 Pavel Rojtberg , Arjan Kuijper

Existing 3D foundation models typically align point clouds to frozen vision-language spaces like CLIP, which achieve strong cross-modal retrieval by compressing 3D shape into a global vector. However, this global-only alignment cannot…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Zebin He , Mingxin Yang , Shuhui Yang , Hanxiao Sun , Xintong Han , Chunchao Guo , Wenhan Luo

This paper presents a design space of interaction techniques to engage with visualizations that are printed on paper and augmented through Augmented Reality. Paper sheets are widely used to deploy visualizations and provide a rich set of…

Human-Computer Interaction · Computer Science 2022-08-24 Wai Tong , Zhutian Chen , Meng Xia , Leo Yu-Ho Lo , Linping Yuan , Benjamin Bach , Huamin Qu

3D visual grounding (3DVG), which aims to correlate a natural language description with the target object within a 3D scene, is a significant yet challenging task. Despite recent advancements in this domain, existing approaches commonly…

Computer Vision and Pattern Recognition · Computer Science 2025-01-17 Xinyi Wang , Na Zhao , Zhiyuan Han , Dan Guo , Xun Yang

This paper presents I-nteract, a cyber-physical system that enables real-time interaction with real and virtual objects in a mixed augmented reality environment to design 3D models for additive manufacturing. The system has been developed…

Human-Computer Interaction · Computer Science 2020-02-18 Ammar Malik , Hugo Lhachemi , Robert Shorten

Reconstructing 3D objects from images is inherently an ill-posed problem due to ambiguities in geometry, appearance, and topology. This paper introduces collaborative inverse rendering with persistent homology priors, a novel strategy that…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Xiang Gao , Xinmu Wang , Yuanpeng Liu , Yue Wang , Junqi Huang , Wei Chen , Xianfeng Gu

Recently, regression-based methods have dominated the field of 3D human pose and shape estimation. Despite their promising results, a common issue is the misalignment between predictions and image observations, often caused by minor joint…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Tom Wehrbein , Bodo Rosenhahn , Iain Matthews , Carsten Stoll

The problem of deforming an artist-drawn caricature according to a given normal face expression is of interest in applications such as social media, animation and entertainment. This paper presents a solution to the problem, with an…

Computer Vision and Pattern Recognition · Computer Science 2020-08-14 Keyu Chen , Jianmin Zheng , Jianfei Cai , Juyong Zhang

3D softwares are now capable of producing highly realistic images that look nearly indistinguishable from the real images. This raises the question: can real datasets be enhanced with 3D rendered data? We investigate this question. In this…

Computer Vision and Pattern Recognition · Computer Science 2022-04-06 Shesh Narayan Gupta , Nicholas Bear Brown

We present RELATE, a model that learns to generate physically plausible scenes and videos of multiple interacting objects. Similar to other generative approaches, RELATE is trained end-to-end on raw, unlabeled data. RELATE combines an…

Computer Vision and Pattern Recognition · Computer Science 2020-11-10 Sebastien Ehrhardt , Oliver Groth , Aron Monszpart , Martin Engelcke , Ingmar Posner , Niloy Mitra , Andrea Vedaldi

Historical buildings are a treasure and milestone of human cultural heritage. Reconstructing the 3D models of these building hold significant value. The rapid development of neural rendering methods makes it possible to recover the 3D shape…

Computer Vision and Pattern Recognition · Computer Science 2023-11-30 David Komorowicz , Lu Sang , Ferdinand Maiwald , Daniel Cremers

We study the problem of shape generation in 3D mesh representation from a small number of color images with or without camera poses. While many previous works learn to hallucinate the shape directly from priors, we adopt to further improve…

Computer Vision and Pattern Recognition · Computer Science 2022-04-22 Chao Wen , Yinda Zhang , Chenjie Cao , Zhuwen Li , Xiangyang Xue , Yanwei Fu

Incorporating accurate physics-based simulation into interactive design tools is challenging. However, adding the physics accurately becomes crucial to several emerging technologies. For example, in virtual/augmented reality (VR/AR) videos,…

Human-Computer Interaction · Computer Science 2017-12-05 Dingzeyu Li

Texture is an essential property of physical objects that affects aesthetics, usability, and functionality. However, designing and applying textures to 3D objects with existing tools remains difficult and time-consuming; it requires…

Human-Computer Interaction · Computer Science 2017-03-17 Ryo Suzuki , Tom Yeh , Koji Yatani , Mark D. Gross
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