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Related papers: MEGANE: Morphable Eyeglass and Avatar Network

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Recently, multiple formulations of vision problems as probabilistic inversions of generative models based on computer graphics have been proposed. However, applications to 3D perception from natural images have focused on low-dimensional…

Computer Vision and Pattern Recognition · Computer Science 2014-07-08 Tejas D. Kulkarni , Vikash K. Mansinghka , Pushmeet Kohli , Joshua B. Tenenbaum

Meaningful social interaction is vital to well-being, yet Blind and Low Vision (BLV) individuals face persistent barriers when collaborating with sighted peers due to inaccessible visual cues. While most wearable assistive technologies…

Human-Computer Interaction · Computer Science 2026-04-09 Jieqiong Ding , Yumo Zhang , Xiuqi Tommy Zhu , Kaige Yang , Yuqing Wei , Shiyi Wang , Yishan Liu , Yang Jiao

Nanostructured materials have recently emerged as a promising approach for material appearance design. Research has mainly focused on creating structural colours by wave interference, leaving aside other important aspects that constitute…

Capturing the interactions between humans and their environment in 3D is important for many applications in robotics, graphics, and vision. Recent works to reconstruct the 3D human and object from a single RGB image do not have consistent…

Computer Vision and Pattern Recognition · Computer Science 2023-11-01 Xianghui Xie , Bharat Lal Bhatnagar , Gerard Pons-Moll

We present a high-fidelity 3D generative adversarial network (GAN) inversion framework that can synthesize photo-realistic novel views while preserving specific details of the input image. High-fidelity 3D GAN inversion is inherently…

Computer Vision and Pattern Recognition · Computer Science 2022-11-30 Jiaxin Xie , Hao Ouyang , Jingtan Piao , Chenyang Lei , Qifeng Chen

We present a neural rendering framework that maps a voxelized scene into a high quality image. Highly-textured objects and scene element interactions are realistically rendered by our method, despite having a rough representation as an…

Computer Vision and Pattern Recognition · Computer Science 2020-04-07 Konstantinos Rematas , Vittorio Ferrari

Deep generative models learned through adversarial training have become increasingly popular for their ability to generate naturalistic image textures. However, aside from their texture, the visual appearance of objects is significantly…

Computer Vision and Pattern Recognition · Computer Science 2018-03-29 Jean Kossaifi , Linh Tran , Yannis Panagakis , Maja Pantic

Recent breakthroughs in 3D generation have enabled the synthesis of high-fidelity individual assets. However, generating 3D compositional objects from single images--particularly under occlusions--remains challenging. Existing methods often…

Computer Vision and Pattern Recognition · Computer Science 2026-03-18 Hui Shan , Keyang Luo , Ming Li , Sizhe Zheng , Yanwei Fu , Zhen Chen , Xiangru Huang

Augmented reality (AR) has the potential to revolutionize the way in which information is presented by overlaying virtual information onto a person's direct view of their real-time surroundings. By placing the display on the surface of the…

Graphene, the one-atom-thick sp2 hybridized carbon crystal, displays unique electronic, structural and mechanical properties, which promise a large number of interesting applications in diverse high tech fields. Many of these applications…

Mesoscale and Nanoscale Physics · Physics 2016-09-27 Tommaso Cavallucci , Khatuna Kakhiani , Riccardo Farchioni , Valentina Tozzini

Generative models for 3D geometric data arise in many important applications in 3D computer vision and graphics. In this paper, we focus on 3D deformable shapes that share a common topological structure, such as human faces and bodies.…

Computer Vision and Pattern Recognition · Computer Science 2023-09-26 Giorgos Bouritsas , Sergiy Bokhnyak , Stylianos Ploumpis , Michael Bronstein , Stefanos Zafeiriou

In mixed-ability collaboration, eye contact is often treated as a default cue for attention and turn-taking. As these signals are primarily visual, they are not reliably accessible to people with visual impairments. While prior work…

Human-Computer Interaction · Computer Science 2026-05-08 Markus Wieland , Phillip Koch , Michael Sedlmair

Data from many real-world applications can be naturally represented by multi-view networks where the different views encode different types of relationships (e.g., friendship, shared interests in music, etc.) between real-world individuals…

Social and Information Networks · Computer Science 2019-09-04 Yiwei Sun , Suhang Wang , Tsung-Yu Hsieh , Xianfeng Tang , Vasant Honavar

While for the evaluation of robustness of eye tracking algorithms the use of real-world data is essential, there are many applications where simulated, synthetic eye images are of advantage. They can generate labelled ground-truth data for…

Computer Vision and Pattern Recognition · Computer Science 2015-11-25 Thomas C. Kübler , Tobias Rittig , Judith Ungewiss , Christina Krauss , Enkelejda Kasneci

Vision systems in nature show remarkable diversity, from simple light-sensitive patches to complex camera eyes with lenses. While natural selection has produced these eyes through countless mutations over millions of years, they represent…

Artificial Intelligence · Computer Science 2025-02-14 Kushagra Tiwary , Aaron Young , Zaid Tasneem , Tzofi Klinghoffer , Akshat Dave , Tomaso Poggio , Dan-Eric Nilsson , Brian Cheung , Ramesh Raskar

Unsupervised generation of clothed virtual humans with various appearance and animatable poses is important for creating 3D human avatars and other AR/VR applications. Existing methods are either limited to rigid object modeling, or not…

Computer Vision and Pattern Recognition · Computer Science 2022-08-02 Jianfeng Zhang , Zihang Jiang , Dingdong Yang , Hongyi Xu , Yichun Shi , Guoxian Song , Zhongcong Xu , Xinchao Wang , Jiashi Feng

Finding correspondences between shapes is a fundamental problem in computer vision and graphics, which is relevant for many applications, including 3D reconstruction, object tracking, and style transfer. The vast majority of correspondence…

Computer Vision and Pattern Recognition · Computer Science 2024-04-04 Maolin Gao , Zorah Lähner , Johan Thunberg , Daniel Cremers , Florian Bernard

In this paper, we present the design of a multimodal interaction framework for intelligent virtual agents in wearable mixed reality environments, especially for interactive applications at museums, botanical gardens, and similar places.…

Human-Computer Interaction · Computer Science 2025-03-26 Ghazanfar Ali , Hong-Quan Le , Junho Kim , Seoung-won Hwang , Jae-In Hwang

Non-rigid 3D mesh matching is a critical step in computer vision and computer graphics pipelines. We tackle matching meshes that contain topological artefacts which can break the assumption made by current approaches. While Functional Maps…

Computer Vision and Pattern Recognition · Computer Science 2025-09-09 Aymen Merrouche , Stefanie Wuhrer , Edmond Boyer

The variation of pose, illumination and expression makes face recognition still a challenging problem. As a pre-processing in holistic approaches, faces are usually aligned by eyes. The proposed method tries to perform a pixel alignment…

Computer Vision and Pattern Recognition · Computer Science 2018-08-01 Hoda Mohammadzade , Amirhossein Sayyafan , Benyamin Ghojogh
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