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3D scene reconstruction is a long-standing vision task. Existing approaches can be categorized into geometry-based and learning-based methods. The former leverages multi-view geometry but can face catastrophic failures due to the reliance…

Computer Vision and Pattern Recognition · Computer Science 2023-08-11 Guangkai Xu , Wei Yin , Hao Chen , Chunhua Shen , Kai Cheng , Feng Zhao

With the widespread use of virtual reality applications, 3D scene generation has become a new challenging research frontier. 3D scenes have highly complex structures and need to ensure that the output is dense, coherent, and contains all…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Xiaolu Hou , Mingcheng Li , Dingkang Yang , Jiawei Chen , Ziyun Qian , Xiao Zhao , Yue Jiang , Jinjie Wei , Qingyao Xu , Lihua Zhang

Increasing popularity of augmented and mixed reality systems has seen a similar increase of interest in 2D and 3D computer generated holography (CGH). Unlike stereoscopic approaches, CGH can fully represent a light field including depth of…

Graphics · Computer Science 2020-06-19 Peter J. Christopher , Timothy D. Wilkinson

4D reconstruction of human-object interaction is critical for immersive VR/AR experience and human activity understanding. Recent advances still fail to recover fine geometry and texture results from sparse RGB inputs, especially under…

Computer Vision and Pattern Recognition · Computer Science 2021-08-04 Guoxing Sun , Xin Chen , Yizhang Chen , Anqi Pang , Pei Lin , Yuheng Jiang , Lan Xu , Jingya Wang , Jingyi Yu

In complex missions such as search and rescue,robots must make intelligent decisions in unknown environments, relying on their ability to perceive and understand their surroundings. High-quality and real-time reconstruction enhances…

Robotics · Computer Science 2024-10-10 Zijun Xu , Rui Jin , Ke Wu , Yi Zhao , Zhiwei Zhang , Jieru Zhao , Fei Gao , Zhongxue Gan , Wenchao Ding

Advancements in 3D scene reconstruction have transformed 2D images from the real world into 3D models, producing realistic 3D results from hundreds of input photos. Despite great success in dense-view reconstruction scenarios, rendering a…

Computer Vision and Pattern Recognition · Computer Science 2025-06-26 Fangfu Liu , Wenqiang Sun , Hanyang Wang , Yikai Wang , Haowen Sun , Junliang Ye , Jun Zhang , Yueqi Duan

3D scene reconstruction is essential for applications in virtual reality, robotics, and autonomous driving, enabling machines to understand and interact with complex environments. Traditional 3D Gaussian Splatting techniques rely on images…

Graphics · Computer Science 2025-03-04 Changlin Song , Jiaqi Wang , Liyun Zhu , He Weng

Interactive world models that simulate object dynamics are crucial for robotics, VR, and AR. However, it remains a significant challenge to learn physics-consistent dynamics models from limited real-world video data, especially for…

Computer Vision and Pattern Recognition · Computer Science 2025-10-27 Yu Yang , Zhilu Zhang , Xiang Zhang , Yihan Zeng , Hui Li , Wangmeng Zuo

We present EchoScene, an interactive and controllable generative model that generates 3D indoor scenes on scene graphs. EchoScene leverages a dual-branch diffusion model that dynamically adapts to scene graphs. Existing methods struggle to…

Computer Vision and Pattern Recognition · Computer Science 2025-02-28 Guangyao Zhai , Evin Pınar Örnek , Dave Zhenyu Chen , Ruotong Liao , Yan Di , Nassir Navab , Federico Tombari , Benjamin Busam

Scenes are continuously undergoing dynamic changes in the real world. However, existing human-scene interaction generation methods typically treat the scene as static, which deviates from reality. Inspired by world models, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-01-28 Yin Wang , Zhiying Leng , Haitian Liu , Frederick W. B. Li , Mu Li , Xiaohui Liang

4D modeling of human-object interactions is critical for numerous applications. However, efficient volumetric capture and rendering of complex interaction scenarios, especially from sparse inputs, remain challenging. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Yuheng Jiang , Suyi Jiang , Guoxing Sun , Zhuo Su , Kaiwen Guo , Minye Wu , Jingyi Yu , Lan Xu

Interactive 3D scenes are increasingly vital for embodied intelligence, yet existing datasets remain limited due to the labor-intensive process of annotating part segmentation, kinematic types, and motion trajectories. We present REACT3D, a…

Computer Vision and Pattern Recognition · Computer Science 2026-04-13 Zhao Huang , Boyang Sun , Alexandros Delitzas , Jiaqi Chen , Marc Pollefeys

Panoptic 3D reconstruction from a monocular video is a fundamental perceptual task in robotic scene understanding. However, existing efforts suffer from inefficiency in terms of inference speed and accuracy, limiting their practical…

Computer Vision and Pattern Recognition · Computer Science 2024-09-23 Zhen Zhou , Yunkai Ma , Junfeng Fan , Shaolin Zhang , Fengshui Jing , Min Tan

Rendering realistic human-object interactions (HOIs) from sparse-view inputs is a challenging yet crucial task for various real-world applications. Existing methods often struggle to simultaneously achieve high rendering quality, physical…

Graphics · Computer Science 2026-04-10 Weiquan Wang , Jun Xiao , Yi Yang , Yueting Zhuang , Long Chen

We propose LiteReality, a novel pipeline that converts RGB-D scans of indoor environments into compact, realistic, and interactive 3D virtual replicas. LiteReality not only reconstructs scenes that visually resemble reality but also…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Zhening Huang , Xiaoyang Wu , Fangcheng Zhong , Hengshuang Zhao , Matthias Nießner , Joan Lasenby

Accurate 3D reconstruction of objects with reflective, transparent, or low-texture surfaces still remains notoriously challenging. Such materials often violate key assumptions in multi-view reconstruction pipelines, such as photometric…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Zhicheng Liang , Haoyi Yu , Boyan Li , Dayou Zhang , Zijian Cao , Tianyi Gong , Junhua Liu , Shuguang Cui , Fangxin Wang

Building an efficient and physically consistent world model from limited observations is a long standing challenge in vision and robotics. Many existing world modeling pipelines are based on implicit generative models, which are hard to…

Computer Vision and Pattern Recognition · Computer Science 2025-06-06 Wenhao Hu , Xuexiang Wen , Xi Li , Gaoang Wang

The increasing demand for virtual reality applications has highlighted the significance of crafting immersive 3D assets. We present a text-to-3D 360$^{\circ}$ scene generation pipeline that facilitates the creation of comprehensive…

Computer Vision and Pattern Recognition · Computer Science 2024-07-26 Shijie Zhou , Zhiwen Fan , Dejia Xu , Haoran Chang , Pradyumna Chari , Tejas Bharadwaj , Suya You , Zhangyang Wang , Achuta Kadambi

Monocular 3D clothed human reconstruction aims to create a complete 3D avatar from a single image. To tackle the human geometry lacking in one RGB image, current methods typically resort to a preceding model for an explicit geometric…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Nanjie Yao , Gangjian Zhang , Wenhao Shen , Jian Shu , Hao Wang

Real objects that inhabit the physical world follow physical laws and thus behave plausibly during interaction with other physical objects. However, current methods that perform 3D reconstructions of real-world scenes from multi-view 2D…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Yuqiu Liu , Jialin Song , Marissa Ramirez de Chanlatte , Rochishnu Chowdhury , Rushil Paresh Desai , Wuyang Chen , Daniel Martin , Michael W. Mahoney