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With the recent emergence of 3D-supported TVs, video service providers now face an opportunity to provide high resolution multi-view 3D videos over IP networks. One simple way to support efficient communications between a video server and…

Multimedia · Computer Science 2014-10-16 Ting-Yu Ho , Yi-Nung Yeh , De-Nian Yang

How can one efficiently generate high-quality, wide-scope 3D scenes from arbitrary single images? Existing methods suffer several drawbacks, such as requiring multi-view data, time-consuming per-scene optimization, distorted geometry in…

Computer Vision and Pattern Recognition · Computer Science 2025-04-29 Hanwen Liang , Junli Cao , Vidit Goel , Guocheng Qian , Sergei Korolev , Demetri Terzopoulos , Konstantinos N. Plataniotis , Sergey Tulyakov , Jian Ren

Realtime 4D reconstruction for dynamic scenes remains a crucial challenge for autonomous driving perception. Most existing methods rely on depth estimation through self-supervision or multi-modality sensor fusion. In this paper, we propose…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Xin Fei , Wenzhao Zheng , Yueqi Duan , Wei Zhan , Masayoshi Tomizuka , Kurt Keutzer , Jiwen Lu

Multi-view depth estimation plays a critical role in reconstructing and understanding the 3D world. Recent learning-based methods have made significant progress in it. However, multi-view depth estimation is fundamentally a…

Computer Vision and Pattern Recognition · Computer Science 2022-05-06 Kai Cheng , Hao Chen , Wei Yin , Guangkai Xu , Xuejin Chen

Precise camera control for reshooting dynamic videos is bottlenecked by the severe scarcity of paired multi-view data for non-rigid scenes. We overcome this limitation with a highly scalable self-supervised framework capable of leveraging…

Computer Vision and Pattern Recognition · Computer Science 2026-04-27 Avinash Paliwal , Adithya Iyer , Shivin Yadav , Muhammad Ali Afridi , Midhun Harikumar

The recent years have seen a surge of interest in methods for imaging beyond the direct line of sight. The most prominent techniques rely on time-resolved optical impulse responses, obtained by illuminating a diffuse wall with an ultrashort…

Computer Vision and Pattern Recognition · Computer Science 2020-01-30 Javier Grau Chopite , Matthias B. Hullin , Michael Wand , Julian Iseringhausen

Real-time 3D reconstruction enables fast dense mapping of the environment which benefits numerous applications, such as navigation or live evaluation of an emergency. In contrast to most real-time capable approaches, our approach does not…

Computer Vision and Pattern Recognition · Computer Science 2021-04-22 Max Hermann , Boitumelo Ruf , Martin Weinmann

Video understanding requires reasoning at multiple spatiotemporal resolutions -- from short fine-grained motions to events taking place over longer durations. Although transformer architectures have recently advanced the state-of-the-art,…

Computer Vision and Pattern Recognition · Computer Science 2022-06-01 Shen Yan , Xuehan Xiong , Anurag Arnab , Zhichao Lu , Mi Zhang , Chen Sun , Cordelia Schmid

We present ViewSplat, a view-adaptive 3D Gaussian splatting network for novel view synthesis from unposed images. While recent feed-forward 3D Gaussian splatting has significantly accelerated 3D scene reconstruction by bypassing per-scene…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Moonyeon Jeong , Seunggi Min , Suhyeon Lee , Hongje Seong

Multiview depth imagery will play a critical role in free-viewpoint television. This technology requires high quality virtual view synthesis to enable viewers to move freely in a dynamic real world scene. Depth imagery at different…

Computer Vision and Pattern Recognition · Computer Science 2023-01-30 Pravin Kumar Rana , Markus Flierl

We present a diffusion-based model for 3D-aware generative novel view synthesis from as few as a single input image. Our model samples from the distribution of possible renderings consistent with the input and, even in the presence of…

Computer Vision and Pattern Recognition · Computer Science 2023-04-06 Eric R. Chan , Koki Nagano , Matthew A. Chan , Alexander W. Bergman , Jeong Joon Park , Axel Levy , Miika Aittala , Shalini De Mello , Tero Karras , Gordon Wetzstein

We present a method that synthesizes novel views of complex scenes by interpolating a sparse set of nearby views. The core of our method is a network architecture that includes a multilayer perceptron and a ray transformer that estimates…

Computer Vision and Pattern Recognition · Computer Science 2021-04-08 Qianqian Wang , Zhicheng Wang , Kyle Genova , Pratul Srinivasan , Howard Zhou , Jonathan T. Barron , Ricardo Martin-Brualla , Noah Snavely , Thomas Funkhouser

The creation of detailed 3D models is relevant for a wide range of applications such as navigation in three-dimensional space, construction planning or disaster assessment. However, the complex processing and long execution time for…

Computer Vision and Pattern Recognition · Computer Science 2021-10-25 Max Hermann , Thomas Pollok , Daniel Brommer , Dominic Zahn

Dense 3D tracking from monocular video is fundamental to dynamic scene understanding. While recent 3D foundation models provide reliable per-frame geometry, recovering object motion in this geometry remains challenging and benefits from…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Jisu Nam , Jahyeok Koo , Soowon Son , Jaewoo Jung , Honggyu An , Junhwa Hur , Seungryong Kim

Three-dimensional particle tracking velocimetry (3D-PTV) technique is widely used to acquire the complicated trajectories of particles and flow fields. It is known that the accuracy of 3D-PTV depends on the mapping function to reconstruct…

Fluid Dynamics · Physics 2020-02-04 Yeonghyeon Gim , Dong Kyu Jang , Dong Kee Sohn , Hyoungsoo Kim , Han Seo Ko

Transmission latency significantly affects users' quality of experience in real-time interaction and actuation. As latency is principally inevitable, video prediction can be utilized to mitigate the latency and ultimately enable…

Computer Vision and Pattern Recognition · Computer Science 2025-04-07 Shota Hirose , Kazuki Kotoyori , Kasidis Arunruangsirilert , Fangzheng Lin , Heming Sun , Jiro Katto

Reconstructing 3D representations from 2D inputs is a fundamental task in computer vision and graphics, serving as a cornerstone for understanding and interacting with the physical world. While traditional methods achieve high fidelity,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-16 Weijie Wang , Qihang Cao , Sensen Gao , Donny Y. Chen , Haofei Xu , Wenjing Bian , Songyou Peng , Tat-Jen Cham , Chuanxia Zheng , Andreas Geiger , Jianfei Cai , Jia-Wang Bian , Bohan Zhuang

The virtual viewpoint is perceived as a new technique in virtual navigation, as yet not supported due to the lack of depth information and obscure camera parameters. In this paper, a method for achieving close-up virtual view is proposed…

Computer Vision and Pattern Recognition · Computer Science 2023-07-13 Xinyi Bai , Ze Wang , Lu Yang , Hong Cheng

3D Gaussian Splatting (3DGS) has demonstrated remarkable real-time performance in novel view synthesis, yet its effectiveness relies heavily on dense multi-view inputs with precisely known camera poses, which are rarely available in…

Computer Vision and Pattern Recognition · Computer Science 2025-08-22 Zongqi He , Hanmin Li , Kin-Chung Chan , Yushen Zuo , Hao Xie , Zhe Xiao , Jun Xiao , Kin-Man Lam

Generating multi-view images based on text or single-image prompts is a critical capability for the creation of 3D content. Two fundamental questions on this topic are what data we use for training and how to ensure multi-view consistency.…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Qi Zuo , Xiaodong Gu , Lingteng Qiu , Yuan Dong , Zhengyi Zhao , Weihao Yuan , Rui Peng , Siyu Zhu , Zilong Dong , Liefeng Bo , Qixing Huang