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Synthetic 3D scenes are essential for developing Physical AI and generative models. Existing procedural generation methods often have low output throughput, creating a significant bottleneck in scaling up dataset creation. In this work, we…

Robotics · Computer Science 2025-12-19 Jinghuan Shang , Harsh Patel , Ran Gong , Karl Schmeckpeper

Generating coherent and useful image/video scenes from a free-form textual description is technically a very difficult problem to handle. Textual description of the same scene can vary greatly from person to person, or sometimes even for…

Computer Vision and Pattern Recognition · Computer Science 2020-12-01 Faria Huq , Nafees Ahmed , Anindya Iqbal

3D visual grounding (3DVG) identifies objects in 3D scenes from language descriptions. Existing zero-shot approaches leverage 2D vision-language models (VLMs) by converting 3D spatial information (SI) into forms amenable to VLM processing,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-11 Yuanyuan Liu , Haiyang Mei , Dongyang Zhan , Jiayue Zhao , Dongsheng Zhou , Bo Dong , Xin Yang

Generating high-quality, textured 3D scenes from a single image remains a fundamental challenge in vision and graphics. Recent image-to-3D generators recover reasonable geometry from single views, but their object-centric training limits…

Computer Vision and Pattern Recognition · Computer Science 2025-12-10 Kaizhi Zheng , Yue Fan , Jing Gu , Zishuo Xu , Xuehai He , Xin Eric Wang

Deep generative models have been recently extended to synthesizing 3D digital humans. However, previous approaches treat clothed humans as a single chunk of geometry without considering the compositionality of clothing and accessories. As a…

Computer Vision and Pattern Recognition · Computer Science 2023-05-30 Taeksoo Kim , Shunsuke Saito , Hanbyul Joo

Zero-shot scene understanding in real-world settings presents major challenges due to the complexity and variability of natural scenes, where models must recognize new objects, actions, and contexts without prior labeled examples. This work…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Manjunath Prasad Holenarasipura Rajiv , B. M. Vidyavathi

Humans live within a 3D space and constantly interact with it to perform tasks. Such interactions involve physical contact between surfaces that is semantically meaningful. Our goal is to learn how humans interact with scenes and leverage…

Computer Vision and Pattern Recognition · Computer Science 2021-04-06 Mohamed Hassan , Partha Ghosh , Joachim Tesch , Dimitrios Tzionas , Michael J. Black

Understanding 3D scenes in open-world settings poses fundamental challenges for vision and robotics, particularly due to the limitations of closed-vocabulary supervision and static annotations. To address this, we propose a unified…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Fei Yu , Quan Deng , Shengeng Tang , Yuehua Li , Lechao Cheng

A 3D scene graph represents a compact scene model by capturing both the objects present and the semantic relationships between them, making it a promising structure for robotic applications. To effectively interact with users, an embodied…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Tatiana Zemskova , Dmitry Yudin

As more applications of large language models (LLMs) for 3D content for immersive environments emerge, it is crucial to study user behaviour to identify interaction patterns and potential barriers to guide the future design of immersive…

Human-Computer Interaction · Computer Science 2026-04-09 Junlong Chen , Jens Grubert , Per Ola Kristensson

Synthesizing semantic-aware, long-horizon, human-object interaction is critical to simulate realistic human behaviors. In this work, we address the challenging problem of generating synchronized object motion and human motion guided by…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Jiaman Li , Alexander Clegg , Roozbeh Mottaghi , Jiajun Wu , Xavier Puig , C. Karen Liu

While there has been a number of studies on Zero-Shot Learning (ZSL) for 2D images, its application to 3D data is still recent and scarce, with just a few methods limited to classification. We present the first generative approach for both…

Computer Vision and Pattern Recognition · Computer Science 2023-01-20 Björn Michele , Alexandre Boulch , Gilles Puy , Maxime Bucher , Renaud Marlet

In recent years, 3D generation has made great strides in both academia and industry. However, generating 3D scenes from a single RGB image remains a significant challenge, as current approaches often struggle to ensure both object…

Graphics · Computer Science 2026-02-18 Xiang Tang , Ruotong Li , Xiaopeng Fan

Methods that synthesize indoor 3D scenes from text prompts have wide-ranging applications in film production, interior design, video games, virtual reality, and synthetic data generation for training embodied agents. Existing approaches…

Computer Vision and Pattern Recognition · Computer Science 2025-11-20 Antonio Ruiz , Tao Wu , Andrew Melnik , Qing Cheng , Xuqin Wang , Lu Liu , Yongliang Wang , Yanfeng Zhang , Helge Ritter

Understanding how people interact with their surroundings and each other is essential for enabling robots to act in socially compliant and context-aware ways. While 3D Scene Graphs have emerged as a powerful semantic representation for…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Ermanno Bartoli , Dennis Rotondi , Buwei He , Patric Jensfelt , Kai O. Arras , Iolanda Leite

Human motion synthesis conditioned on textual input has gained significant attention in recent years due to its potential applications in various domains such as gaming, film production, and virtual reality. Conditioned Motion synthesis…

Computer Vision and Pattern Recognition · Computer Science 2025-01-06 Avinash Amballa , Gayathri Akkinapalli , Vinitra Muralikrishnan

Human motion synthesis is a fundamental task in computer animation. Despite recent progress in this field utilizing deep learning and motion capture data, existing methods are always limited to specific motion categories, environments, and…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 Zhikai Zhang , Yitang Li , Haofeng Huang , Mingxian Lin , Li Yi

Social interaction is a fundamental aspect of human behavior and communication. The way individuals position themselves in relation to others, also known as proxemics, conveys social cues and affects the dynamics of social interaction.…

Computer Vision and Pattern Recognition · Computer Science 2023-12-14 Lea Müller , Vickie Ye , Georgios Pavlakos , Michael Black , Angjoo Kanazawa

In pre-production, filmmakers and 3D animation experts must rapidly prototype ideas to explore a film's possibilities before fullscale production, yet conventional approaches involve trade-offs in efficiency and expressiveness. Hand-drawn…

Human-Computer Interaction · Computer Science 2026-02-04 Erzhen Hu , Frederik Brudy , David Ledo , George Fitzmaurice , Fraser Anderson

We propose a low cost and effective way to combine a free simulation software and free CAD models for modeling human-object interaction in order to improve human & object segmentation. It is intended for research scenarios related to safe…

Computer Vision and Pattern Recognition · Computer Science 2016-05-30 Vivek Sharma , Sule Yildirim-Yayilgan , Luc Van Gool