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We investigate the problem of generating 3D meshes from single free-hand sketches, aiming at fast 3D modeling for novice users. It can be regarded as a single-view reconstruction problem, but with unique challenges, brought by the variation…

Computer Vision and Pattern Recognition · Computer Science 2021-05-17 Song-Hai Zhang , Yuan-Chen Guo , Qing-Wen Gu

Creating 3D shapes from 2D drawings is an important problem with applications in content creation for computer animation and virtual reality. We introduce a new sketch-based system, CreatureShop, that enables amateurs to create high-quality…

Immersive authoring provides an intuitive medium for users to create 3D scenes via direct manipulation in Virtual Reality (VR). Recent advances in generative AI have enabled the automatic creation of realistic 3D layouts. However, it is…

Human-Computer Interaction · Computer Science 2024-08-20 Lei Zhang , Jin Pan , Jacob Gettig , Steve Oney , Anhong Guo

Advances in 3D reconstruction have enabled high-quality 3D capture, but require a user to collect hundreds to thousands of images to create a 3D scene. We present CAT3D, a method for creating anything in 3D by simulating this real-world…

Computer Vision and Pattern Recognition · Computer Science 2024-05-17 Ruiqi Gao , Aleksander Holynski , Philipp Henzler , Arthur Brussee , Ricardo Martin-Brualla , Pratul Srinivasan , Jonathan T. Barron , Ben Poole

Composite visualization represents a widely embraced design that combines multiple visual representations to create an integrated view. However, the traditional approach of creating composite visualizations in immersive environments…

Human-Computer Interaction · Computer Science 2024-08-08 Qian Zhu , Tao Lu , Shunan Guo , Xiaojuan Ma , Yalong Yang

We present a method for jointly generating 3D models of objects and 2D renders at different viewing angles, with the process guided by ImageNet and CLIP -based models. Our results indicate that it can generate anamorphic objects, with…

Computer Vision and Pattern Recognition · Computer Science 2021-11-10 Eric Chu

Creating novel images by fusing visual cues from multiple sources is a fundamental yet underexplored problem in image-to-image generation, with broad applications in artistic creation, virtual reality and visual media. Existing methods…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Zeren Xiong , Yue Yu , Zedong Zhang , Shuo Chen , Jian Yang , Jun Li

We introduce a method to generate 3D scenes that are disentangled into their component objects. This disentanglement is unsupervised, relying only on the knowledge of a large pretrained text-to-image model. Our key insight is that objects…

Computer Vision and Pattern Recognition · Computer Science 2024-02-28 Dave Epstein , Ben Poole , Ben Mildenhall , Alexei A. Efros , Aleksander Holynski

Designing real and virtual garments is becoming extremely demanding with rapidly changing fashion trends and increasing need for synthesizing realistic dressed digital humans for various applications. This necessitates creating simple and…

Graphics · Computer Science 2018-07-17 Tuanfeng Y. Wang , Duygu Ceylan , Jovan Popovic , Niloy J. Mitra

Generating high-quality 3D content from text, single images, or sparse view images remains a challenging task with broad applications. Existing methods typically employ multi-view diffusion models to synthesize multi-view images, followed…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Junlin Han , Jianyuan Wang , Andrea Vedaldi , Philip Torr , Filippos Kokkinos

The VirtualCube system is a 3D video conference system that attempts to overcome some limitations of conventional technologies. The key ingredient is VirtualCube, an abstract representation of a real-world cubicle instrumented with RGBD…

Computer Vision and Pattern Recognition · Computer Science 2021-12-30 Yizhong Zhang , Jiaolong Yang , Zhen Liu , Ruicheng Wang , Guojun Chen , Xin Tong , Baining Guo

The recent development of feedforward 3D Gaussian Splatting (3DGS) presents a new paradigm to reconstruct 3D scenes. Using neural networks trained on large-scale multi-view datasets, it can directly infer 3DGS representations from sparse…

Computer Vision and Pattern Recognition · Computer Science 2025-06-12 Zetian Song , Jiaye Fu , Jiaqi Zhang , Xiaohan Lu , Chuanmin Jia , Siwei Ma , Wen Gao

To make an engaging video, people sequence interesting moments and add visuals such as B-rolls or text. While video editing requires time and effort, AI has recently shown strong potential to make editing easier through suggestions and…

Human-Computer Interaction · Computer Science 2025-02-17 Mina Huh , Dingzeyu Li , Kim Pimmel , Hijung Valentina Shin , Amy Pavel , Mira Dontcheva

Understanding 3D scenes from multi-view inputs has been proven to alleviate the view discrepancy issue in 3D visual grounding. However, existing methods normally neglect the view cues embedded in the text modality and fail to weigh the…

Computer Vision and Pattern Recognition · Computer Science 2023-12-06 Zoey Guo , Yiwen Tang , Ray Zhang , Dong Wang , Zhigang Wang , Bin Zhao , Xuelong Li

This work presents a novel text-to-vector graphics generation approach, Dream3DVG, allowing for arbitrary viewpoint viewing, progressive detail optimization, and view-dependent occlusion awareness. Our approach is a dual-branch optimization…

Computer Vision and Pattern Recognition · Computer Science 2025-05-28 Yidi Li , Jun Xiao , Zhengda Lu , Yiqun Wang , Haiyong Jiang

This paper presents ViewFormer, a simple yet effective model for multi-view 3d shape recognition and retrieval. We systematically investigate the existing methods for aggregating multi-view information and propose a novel ``view set"…

Computer Vision and Pattern Recognition · Computer Science 2023-05-02 Hongyu Sun , Yongcai Wang , Peng Wang , Xudong Cai , Deying Li

We contribute a deep-learning-based method that assists in designing analytical dashboards for analyzing a data table. Given a data table, data workers usually need to experience a tedious and time-consuming process to select meaningful…

Human-Computer Interaction · Computer Science 2021-07-19 Aoyu Wu , Yun Wang , Mengyu Zhou , Xinyi He , Haidong Zhang , Huamin Qu , Dongmei Zhang

Providing asynchronous feedback is a critical step in the 3D design workflow. A common approach to providing feedback is to pair textual comments with companion reference images, which helps illustrate the gist of text. Ideally, feedback…

Human-Computer Interaction · Computer Science 2024-09-17 Chen Chen , Cuong Nguyen , Thibault Groueix , Vladimir G. Kim , Nadir Weibel

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 Stable View Synthesis (SVS). Given a set of source images depicting a scene from freely distributed viewpoints, SVS synthesizes new views of the scene. The method operates on a geometric scaffold computed via…

Computer Vision and Pattern Recognition · Computer Science 2021-05-04 Gernot Riegler , Vladlen Koltun
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