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We present a method for fast 3D reconstruction and real-time rendering of dynamic humans from monocular videos with accompanying parametric body fits. Our method can reconstruct a dynamic human in less than 3h using a single GPU, compared…

Computer Vision and Pattern Recognition · Computer Science 2023-03-22 Ignacio Rocco , Iurii Makarov , Filippos Kokkinos , David Novotny , Benjamin Graham , Natalia Neverova , Andrea Vedaldi

This paper presents PlanarSplatting, an ultra-fast and accurate surface reconstruction approach for multiview indoor images. We take the 3D planes as the main objective due to their compactness and structural expressiveness in indoor…

Computer Vision and Pattern Recognition · Computer Science 2024-12-05 Bin Tan , Rui Yu , Yujun Shen , Nan Xue

Feedforward monocular face capture methods seek to reconstruct posed faces from a single image of a person. Current state of the art approaches have the ability to regress parametric 3D face models in real-time across a wide range of…

Computer Vision and Pattern Recognition · Computer Science 2024-09-13 Kelian Baert , Shrisha Bharadwaj , Fabien Castan , Benoit Maujean , Marc Christie , Victoria Abrevaya , Adnane Boukhayma

We present Motion 3-to-4, a feed-forward framework for synthesising high-quality 4D dynamic objects from a single monocular video and an optional 3D reference mesh. While recent advances have significantly improved 2D, video, and 3D content…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Hongyuan Chen , Xingyu Chen , Youjia Zhang , Zexiang Xu , Anpei Chen

We present a method for predicting dense depth in scenarios where both a monocular camera and people in the scene are freely moving. Existing methods for recovering depth for dynamic, non-rigid objects from monocular video impose strong…

Computer Vision and Pattern Recognition · Computer Science 2019-04-26 Zhengqi Li , Tali Dekel , Forrester Cole , Richard Tucker , Noah Snavely , Ce Liu , William T. Freeman

The introduction of optical tracking data across sports has given rise to the ability to dissect athletic performance at a level unfathomable a decade ago. One specific area that has seen substantial benefit is sports science, as high…

Applications · Statistics 2020-01-22 Jacob Mortensen , Luke Bornn

What's the most accurate 3D model of your face you can obtain while sitting at your desk? We attempt to answer this question in our work. High fidelity face reconstructions have so far been limited to either studio settings or through…

Computer Vision and Pattern Recognition · Computer Science 2020-03-20 Shubham Agrawal , Anuj Pahuja , Simon Lucey

Penalties are fraught and game-changing moments in soccer games that teams explicitly prepare for. Consequently, there has been substantial interest in analyzing them in order to provide advice to practitioners. From a data science…

Machine Learning · Computer Science 2025-06-02 Lotte Bransen , Tim Janssen , Jesse Davis

Advanced analytics have transformed how sports teams operate, particularly in episodic sports like baseball. Their impact on continuous invasion sports, such as soccer and ice hockey, has been limited due to increased game complexity and…

Artificial Intelligence · Computer Science 2025-03-26 David Radke , Kyle Tilbury

The objective of this work is to infer the 3D shape of an object from a single image. We use sculptures as our training and test bed, as these have great variety in shape and appearance. To achieve this we build on the success of multiple…

Computer Vision and Pattern Recognition · Computer Science 2018-10-05 Olivia Wiles , Andrew Zisserman

We introduce D$^3$-Human, a method for reconstructing Dynamic Disentangled Digital Human geometry from monocular videos. Past monocular video human reconstruction primarily focuses on reconstructing undecoupled clothed human bodies or only…

Computer Vision and Pattern Recognition · Computer Science 2025-01-06 Honghu Chen , Bo Peng , Yunfan Tao , Juyong Zhang

Humans can infer 3D structure from 2D images of an object based on past experience and improve their 3D understanding as they see more images. Inspired by this behavior, we introduce SAP3D, a system for 3D reconstruction and novel view…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Xinyang Han , Zelin Gao , Angjoo Kanazawa , Shubham Goel , Yossi Gandelsman

Managing chronic wounds is a global challenge that can be alleviated by the adoption of automatic systems for clinical wound assessment from consumer-grade videos. While 2D image analysis approaches are insufficient for handling the 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-06-09 Remi Chierchia , Leo Lebrat , David Ahmedt-Aristizabal , Olivier Salvado , Clinton Fookes , Rodrigo Santa Cruz

In the task of dense video captioning of Soccernet dataset, we propose to generate a video caption of each soccer action and locate the timestamp of the caption. Firstly, we apply Blip as our video caption framework to generate video…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Zheng Ruan , Ruixuan Liu , Shimin Chen , Mengying Zhou , Xinquan Yang , Wei Li , Chen Chen , Wei Shen

Monocular depth estimation is often described as an ill-posed and inherently ambiguous problem. Estimating depth from 2D images is a crucial step in scene reconstruction, 3Dobject recognition, segmentation, and detection. The problem can be…

Computer Vision and Pattern Recognition · Computer Science 2019-01-29 Amlaan Bhoi

Constructing and animating humans is an important component for building virtual worlds in a wide variety of applications such as virtual reality or robotics testing in simulation. As there are exponentially many variations of humans with…

Computer Vision and Pattern Recognition · Computer Science 2021-01-19 Ze Yang , Shenlong Wang , Sivabalan Manivasagam , Zeng Huang , Wei-Chiu Ma , Xinchen Yan , Ersin Yumer , Raquel Urtasun

Capturing and reconstructing a human actor's motion is important for filmmaking and gaming. Currently, motion capture systems with static cameras are used for pixel-level high-fidelity reconstructions. Such setups are costly, require…

Robotics · Computer Science 2023-08-02 Qingyuan Jiang , Volkan Isler

Robots operating in the real world must plan through environments that deform, yield, and reconfigure under contact, requiring interaction-aware 3D representations that extend beyond static geometric occupancy. To address this, we introduce…

Robotics · Computer Science 2026-02-16 Pavan Mantripragada , Siddhanth Deshmukh , Eadom Dessalene , Manas Desai , Yiannis Aloimonos

Injuries have a great impact on professional soccer, due to their large influence on team performance and the considerable costs of rehabilitation for players. Existing studies in the literature provide just a preliminary understanding of…

Machine Learning · Statistics 2018-11-06 Alessio Rossi , Luca Pappalardo , Paolo Cintia , Marcello Iaia , Javier Fernandez , Daniel Medina

Obtaining the precise 3D motion of a table tennis ball from standard monocular videos is a challenging problem, as existing methods trained on synthetic data struggle to generalize to the noisy, imperfect ball and table detections of the…

Computer Vision and Pattern Recognition · Computer Science 2025-11-26 Daniel Kienzle , Katja Ludwig , Julian Lorenz , Shin'ichi Satoh , Rainer Lienhart
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