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We address the problem of generating a 3D-consistent, navigable environment that is spatially grounded: a simulation of a real location. Existing video generative models can produce a plausible sequence that is consistent with a text (T2V)…

Computer Vision and Pattern Recognition · Computer Science 2026-04-22 Gene Chou , Charles Herrmann , Kyle Genova , Boyang Deng , Songyou Peng , Bharath Hariharan , Jason Y. Zhang , Noah Snavely , Philipp Henzler

We introduce the `Illustris zoom simulation project', which allows the study of selected galaxies forming in the $\Lambda$CDM cosmology with a 40 times better mass resolution than in the parent large-scale hydrodynamical Illustris…

Astrophysics of Galaxies · Physics 2016-08-01 Martin Sparre , Volker Springel

We present results on the X-ray properties of clusters and groups of galaxies, extracted from a large hydrodynamical simulation. We used the GADGET code to simulate a LambdaCDM model within a box of 192 Mpc/h on a side, with 480^3 dark…

Diffusion-based video depth estimation methods have achieved remarkable success with strong generalization ability. However, predicting depth for long videos remains challenging. Existing methods typically split videos into overlapping…

Computer Vision and Pattern Recognition · Computer Science 2025-08-08 Yue-Jiang Dong , Wang Zhao , Jiale Xu , Ying Shan , Song-Hai Zhang

360-degree video becomes increasingly popular among users. In the current network bandwidth, serving high resolution 360 degree video to users is quite difficult. Most of the work has been devoted to the prediction of user viewports or…

Multimedia · Computer Science 2023-08-29 Zhiyu Pang

Egocentric, or first-person vision which became popular in recent years with an emerge in wearable technology, is different than exocentric (third-person) vision in some distinguishable ways, one of which being that the camera wearer is…

Computer Vision and Pattern Recognition · Computer Science 2016-10-11 Jessica Finocchiaro , Aisha Urooj Khan , Ali Borji

Spherical cameras capture scenes in a holistic manner and have been used for room layout estimation. Recently, with the availability of appropriate datasets, there has also been progress in depth estimation from a single omnidirectional…

Computer Vision and Pattern Recognition · Computer Science 2022-06-24 Nikolaos Zioulis , Federico Alvarez , Dimitrios Zarpalas , Petros Daras

Most stars form in clumpy and sub-structured clusters. These properties also emerge in hydro-dynamical simulations of star-forming clouds, which provide a way to generate realistic initial conditions for $N-$body runs of young stellar…

Astrophysics of Galaxies · Physics 2023-01-25 Stefano Torniamenti

We introduce Disentangled360, an innovative 3D-aware technology that integrates the advantages of direction disentangled volume rendering with single-image 360{\deg} unique view synthesis for applications in medical imaging and natural…

Computer Vision and Pattern Recognition · Computer Science 2025-12-12 Karthikeya KV , Narendra Bandaru

Cosmography, the study and making of maps of the universe or cosmos, is a field where visual representation benefits from modern three-dimensional visualization techniques and media. At the extragalactic distance scales, visualization is…

Cosmology and Nongalactic Astrophysics · Physics 2017-04-26 Daniel Pomarede , Helene M. Courtois , Yehuda Hoffman , R. Brent Tully

This paper proposes a novel advanced motion model to handle the irregular motion for the cubic map projection of 360-degree video. Since the irregular motion is mainly caused by the projection from the sphere to the cube map, we first try…

Multimedia · Computer Science 2017-02-22 Li Li , Zhu Li , Madhukar Budagavi , Houqiang Li

We demonstrate the potential for research and outreach of mixed polygon and hydrodynamic modeling and multi-waveband rendering in the interactive 3-D astrophysical virtual laboratory Shape. In 3-D special effects and animation software for…

Instrumentation and Methods for Astrophysics · Physics 2017-06-19 Wolfgang Steffen , Nico Koning

Video understanding aims to enable models to perceive, reason about, and interact with the dynamic visual world. In contrast to image understanding, video understanding inherently requires modeling temporal dynamics and evolving visual…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Zhaochong An , Zirui Li , Mingqiao Ye , Feng Qiao , Jiaang Li , Zongwei Wu , Vishal Thengane , Chengzu Li , Lei Li , Luc Van Gool , Guolei Sun , Serge Belongie

Astronomical images can be fascinating to the general public, but the interaction is typically limited to contemplation. Numerical simulations of astronomical systems do permit a closer interaction, but are generally unknown outside the…

Physics Education · Physics 2024-08-23 Jorge Cuadra , Miguel Vergara , Bruno Escárate , Josué Sandoval , Benjamín Cordero

Existing video generation models excel at producing photo-realistic videos from text or images, but often lack physical plausibility and 3D controllability. To overcome these limitations, we introduce PhysCtrl, a novel framework for…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Chen Wang , Chuhao Chen , Yiming Huang , Zhiyang Dou , Yuan Liu , Jiatao Gu , Lingjie Liu

360-degree videos have gained increasing popularity in recent years with the developments and advances in Virtual Reality (VR) and Augmented Reality (AR) technologies. In such applications, a user only watches a video scene within a field…

Computer Vision and Pattern Recognition · Computer Science 2019-02-06 Chenge Li , Weixi Zhang , Yong Liu , Yao Wang

Recent years have witnessed the surge of learned representations that directly build upon point clouds. Though becoming increasingly expressive, most existing representations still struggle to generate ordered point sets. Inspired by…

Computer Vision and Pattern Recognition · Computer Science 2023-02-06 Jiaxin Wei , Lige Liu , Ran Cheng , Wenqing Jiang , Minghao Xu , Xinyu Jiang , Tao Sun , Soren Schwertfeger , Laurent Kneip

Volumetric video is emerging as a key medium for digitizing the dynamic physical world, creating the virtual environments with six degrees of freedom to deliver immersive user experiences. However, robustly modeling general dynamic scenes,…

We aim to tackle sparse-view reconstruction of a 360 3D scene using priors from latent diffusion models (LDM). The sparse-view setting is ill-posed and underconstrained, especially for scenes where the camera rotates 360 degrees around a…

Computer Vision and Pattern Recognition · Computer Science 2024-06-04 Soumava Paul , Christopher Wewer , Bernt Schiele , Jan Eric Lenssen

Immersive maps such as Google Street View and Bing Streetside provide true-to-life views with a massive collection of panoramas. However, these panoramas are only available at sparse intervals along the path they are taken, resulting in…

Computer Vision and Pattern Recognition · Computer Science 2022-02-23 David Li , Yinda Zhang , Christian Häne , Danhang Tang , Amitabh Varshney , Ruofei Du
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