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Recently, methods for neural surface representation and rendering, for example NeuS, have shown that learning neural implicit surfaces through volume rendering is becoming increasingly popular and making good progress. However, these…

Computer Vision and Pattern Recognition · Computer Science 2023-03-31 Hanqi Jiang , Cheng Zeng , Runnan Chen , Shuai Liang , Yinhe Han , Yichao Gao , Conglin Wang

Reconstructing 3D clothed humans from monocular images and videos is a fundamental problem with applications in virtual try-on, avatar creation, and mixed reality. Despite significant progress in human body recovery, accurately…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Yingxuan You , Ren Li , Corentin Dumery , Cong Cao , Hao Li , Pascal Fua

Neural Radiance Field (NeRF) based 3D reconstruction is highly desirable for immersive Augmented and Virtual Reality (AR/VR) applications, but achieving instant (i.e., < 5 seconds) on-device NeRF training remains a challenge. In this work,…

Hardware Architecture · Computer Science 2025-03-31 Sixu Li , Chaojian Li , Wenbo Zhu , Boyang Yu , Yang Zhao , Cheng Wan , Haoran You , Huihong Shi , Yingyan Celine Lin

We present a novel method for reconstructing a 3D implicit surface from a large-scale, sparse, and noisy point cloud. Our approach builds upon the recently introduced Neural Kernel Fields (NKF) representation. It enjoys similar…

Computer Vision and Pattern Recognition · Computer Science 2023-06-12 Jiahui Huang , Zan Gojcic , Matan Atzmon , Or Litany , Sanja Fidler , Francis Williams

We present a framework, called MVG-NeRF, that combines classical Multi-View Geometry algorithms and Neural Radiance Fields (NeRF) for image-based 3D reconstruction. NeRF has revolutionized the field of implicit 3D representations, mainly…

Computer Vision and Pattern Recognition · Computer Science 2022-10-25 Marco Orsingher , Paolo Zani , Paolo Medici , Massimo Bertozzi

We present ShaDDR, an example-based deep generative neural network which produces a high-resolution textured 3D shape through geometry detailization and conditional texture generation applied to an input coarse voxel shape. Trained on a…

Computer Vision and Pattern Recognition · Computer Science 2023-11-23 Qimin Chen , Zhiqin Chen , Hang Zhou , Hao Zhang

While NeRF has shown great success for neural reconstruction and rendering, its limited MLP capacity and long per-scene optimization times make it challenging to model large-scale indoor scenes. In contrast, classical 3D reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2022-03-23 Xiaoshuai Zhang , Sai Bi , Kalyan Sunkavalli , Hao Su , Zexiang Xu

High-resolution (HR) videos play a crucial role in many computer vision applications. Although existing video restoration (VR) methods can significantly enhance video quality by exploiting temporal information across video frames, they are…

Computer Vision and Pattern Recognition · Computer Science 2025-06-09 Mary Aiyetigbo , Wanqi Yuan , Feng Luo , Nianyi Li

Efficiently digitizing high-fidelity animatable human avatars from videos is a challenging and active research topic. Recent volume rendering-based neural representations open a new way for human digitization with their friendly usability…

Computer Vision and Pattern Recognition · Computer Science 2023-03-24 Xiaoke Huang , Yiji Cheng , Yansong Tang , Xiu Li , Jie Zhou , Jiwen Lu

This paper presents a method to reconstruct high-quality textured 3D models from both multi-view and single-view images. The reconstruction is posed as an adaptation problem and is done progressively where in the first stage, we focus on…

Computer Vision and Pattern Recognition · Computer Science 2022-03-18 Aysegul Dundar , Jun Gao , Andrew Tao , Bryan Catanzaro

Industrial 3D face assets creation typically reconstructs topology-consistent face meshes from multi-view images for downstream production. However, high-quality reconstruction usually requires manual processing or specific capture…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Yating Wang , Ran Yi , Xiaoning Lei , Ke Fan , Jinkun Hao , Lizhuang Ma

Recent advances in neural implicit surfaces for multi-view 3D reconstruction primarily focus on improving large-scale surface reconstruction accuracy, but often produce over-smoothed geometries that lack fine surface details. To address…

Computer Vision and Pattern Recognition · Computer Science 2023-02-15 Erich Liang , Kenan Deng , Xi Zhang , Chun-Kai Wang

Event-based vision has drawn increasing attention due to its unique characteristics, such as high temporal resolution and high dynamic range. It has been used in video super-resolution (VSR) recently to enhance the flow estimation and…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Dachun Kai , Jiayao Lu , Yueyi Zhang , Xiaoyan Sun

We present Exact Volumetric Ellipsoid Rendering (EVER), a method for real-time differentiable emission-only volume rendering. Unlike recent rasterization based approach by 3D Gaussian Splatting (3DGS), our primitive based representation…

Computer Vision and Pattern Recognition · Computer Science 2025-07-25 Alexander Mai , Peter Hedman , George Kopanas , Dor Verbin , David Futschik , Qiangeng Xu , Falko Kuester , Jonathan T. Barron , Yinda Zhang

Neural 3D scene representations have shown great potential for 3D reconstruction from 2D images. However, reconstructing real-world captures of complex scenes still remains a challenge. Existing generic 3D reconstruction methods often…

Computer Vision and Pattern Recognition · Computer Science 2024-12-11 Fangjinhua Wang , Marie-Julie Rakotosaona , Michael Niemeyer , Richard Szeliski , Marc Pollefeys , Federico Tombari

Some of the most exciting experiences that Metaverse promises to offer, for instance, live interactions with virtual characters in virtual environments, require real-time photo-realistic rendering. 3D reconstruction approaches to rendering,…

Computer Vision and Pattern Recognition · Computer Science 2022-02-15 Jiakai Zhang , Liao Wang , Xinhang Liu , Fuqiang Zhao , Minzhang Li , Haizhao Dai , Boyuan Zhang , Wei Yang , Lan Xu , Jingyi Yu

Current multi-view 3D reconstruction methods rely on accurate camera calibration and pose estimation, requiring complex and time-intensive pre-processing that hinders their practical deployment. To address this challenge, we introduce…

Graphics · Computer Science 2025-08-07 Haodong Zhu , Changbai Li , Yangyang Ren , Zichao Feng , Xuhui Liu , Hanlin Chen , Xiantong Zhen , Baochang Zhang

Video super-resolution (VSR) seeks to reconstruct high-resolution frames from low-resolution inputs. While diffusion-based methods have substantially improved perceptual quality, extending them to video remains challenging for two reasons:…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Jintong Hu , Bin Chen , Zhenyu Hu , Jiayue Liu , Guo Wang , Lu Qi

Creating realistic virtual assets is a time-consuming process: it usually involves an artist designing the object, then spending a lot of effort on tweaking its appearance. Intricate details and certain effects, such as subsurface…

Computer Vision and Pattern Recognition · Computer Science 2022-12-13 Aljaž Božič , Denis Gladkov , Luke Doukakis , Christoph Lassner

In underwater images, most useful features are occluded by water. The extent of the occlusion depends on imaging geometry and can vary even across a sequence of burst images. As a result, 3D reconstruction methods robust on in-air scenes,…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Nir Mualem , Roy Amoyal , Oren Freifeld , Derya Akkaynak