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Generating realistic, context-aware two-person motion conditioned on diverse modalities remains a fundamental challenge for graphics, animation and embodied AI systems. Real-world applications such as VR/AR companions, social robotics and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Prerit Gupta , Shourya Verma , Ananth Grama , Aniket Bera

Fire outbreaks pose critical threats to human life and infrastructure, necessitating high-fidelity early-warning systems that detect combustion precursors such as smoke. However, smoke plumes exhibit complex spatiotemporal dynamics…

Computer Vision and Pattern Recognition · Computer Science 2025-08-21 Nitish Kumar Mahala , Muzammil Khan , Pushpendra Kumar

In this paper, a deep domain adaptation based method for video smoke detection is proposed to extract a powerful feature representation of smoke. Due to the smoke image samples limited in scale and diversity for deep CNN training, we…

Computer Vision and Pattern Recognition · Computer Science 2017-09-26 Gao Xu , Yongming Zhang , Qixing Zhang , Gaohua Lin , Jinjun Wang

Sketch-based 3D reconstruction remains a challenging task due to the abstract and sparse nature of sketch inputs, which often lack sufficient semantic and geometric information. To address this, we propose Sketch2Symm, a two-stage…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Yan Zhou , Mingji Li , Xiantao Zeng , Jie Lin , Yuexia Zhou

Participating media are a pervasive and intriguing visual effect in virtual environments. Unfortunately, rendering such phenomena in real-time is notoriously difficult due to the computational expense of estimating the volume rendering…

Graphics · Computer Science 2026-04-07 Wei Li , Hanxiao Sun , Tao Huang , Haoxiang Wang , Tongtong Wang , Zherong Pan , Kui Wu

Smoke in real-world scenes can severely degrade image quality and hamper visibility. Recent image restoration methods either rely on data-driven priors that are susceptible to hallucinations, or are limited to static low-density smoke. We…

Computer Vision and Pattern Recognition · Computer Science 2025-12-25 Neham Jain , Andrew Jong , Sebastian Scherer , Ioannis Gkioulekas

During the early stages of interface design, designers need to produce multiple sketches to explore a design space. Design tools often fail to support this critical stage, because they insist on specifying more details than necessary.…

Human-Computer Interaction · Computer Science 2026-03-31 Aryan Garg , Yue Jiang , Antti Oulasvirta

Text-to-motion generation, which translates textual descriptions into human motions, faces the challenge that users often struggle to precisely convey their intended motions through text alone. To address this issue, this paper introduces…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Tao Wang , Lei Jin , Zhihua Wu , Qiaozhi He , Jiaming Chu , Yu Cheng , Junliang Xing , Jian Zhao , Shuicheng Yan , Li Wang

Minimally invasive and robot-assisted surgery relies heavily on endoscopic imaging, yet surgical smoke produced by electrocautery and vessel-sealing instruments can severely degrade visual perception and hinder vision-based functionalities.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Jingpei Lu , Fengyi Jiang , Xiaorui Zhang , Lingbo Jin , Omid Mohareri

Recent advancements in large vision-language models have enabled highly expressive and diverse vector sketch generation. However, state-of-the-art methods rely on a time-consuming optimization process involving repeated feedback from a…

Computer Vision and Pattern Recognition · Computer Science 2025-02-13 Ellie Arar , Yarden Frenkel , Daniel Cohen-Or , Ariel Shamir , Yael Vinker

This paper presents a method for generating dynamic caustic patterns by utilising dual-optimised holographic fields with Phased Array Transducer (PAT). Building on previous research in static caustic optimisation and ultrasonic…

Graphics · Computer Science 2025-09-03 Koki Nagakura , Tatsuki Fushimi , Ayaka Tsutsui , Yoichi Ochiai

Sketching is inherently a sequential process, in which strokes are drawn in a meaningful order to explore and refine ideas. However, most generative models treat sketches as static images, overlooking the temporal structure that underlies…

Computer Vision and Pattern Recognition · Computer Science 2026-02-18 Hui Ren , Yuval Alaluf , Omer Bar Tal , Alexander Schwing , Antonio Torralba , Yael Vinker

Modelling incompressible ideal fluids as a finite collection of vortex filaments is important in physics (super-fluidity, models for the onset of turbulence) as well as for numerical algorithms used in computer graphics for the real time…

Exactly Solvable and Integrable Systems · Physics 2007-10-10 Ulrich Pinkall , Boris Springborn , Steffen Weissmann

Sketching serves as a versatile tool for externalizing ideas, enabling rapid exploration and visual communication that spans various disciplines. While artificial systems have driven substantial advances in content creation and…

Computer Vision and Pattern Recognition · Computer Science 2024-11-27 Yael Vinker , Tamar Rott Shaham , Kristine Zheng , Alex Zhao , Judith E Fan , Antonio Torralba

Artistically controlling fluids has always been a challenging task. Optimization techniques rely on approximating simulation states towards target velocity or density field configurations, which are often handcrafted by artists to…

Graphics · Computer Science 2020-05-05 Byungsoo Kim , Vinicius C. Azevedo , Markus Gross , Barbara Solenthaler

A fundamental difficulty of studying gas-liquid pipe flows is the prediction of the occurrence and characteristics of the slug flow regime, which plays a crucial role in the safety design of oil pipelines. Current empirical methods and…

Fluid Dynamics · Physics 2024-05-24 Massoud Rezavand , Xiangyu Hu

This paper proposes a two-stage text-to-floorplan generation framework that combines the reasoning capability of Large Language Models (LLMs) with the generative power of diffusion models. In the first stage, we leverage a Chain-of-Thought…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Ziyang Zong , Guanying Chen , Zhaohuan Zhan , Fengcheng Yu , Guang Tan

Reconstructing 3D scenes from smoke-degraded multi-view images is particularly difficult because smoke introduces strong scattering effects, view-dependent appearance changes, and severe degradation of cross-view consistency. To address…

Computer Vision and Pattern Recognition · Computer Science 2026-04-23 Xinye Zheng , Fei Wang , Yiqi Nie , Kun Li , Junjie Chen , Jiaqi Zhao , Yanyan Wei , Zhiliang Wu

Sketching provides an intuitive way to convey dynamic intent in animation authoring (i.e., how elements change over time and space), making it a natural medium for automatic content creation. Yet existing approaches often constrain sketches…

Human-Computer Interaction · Computer Science 2026-01-29 Boyu Li , Lin-Ping Yuan , Zeyu Wang , Hongbo Fu

We present accurate and mathematically consistent formulations of a diffuse-interface model for two-phase flow problems involving rapid evaporation. The model addresses challenges including discontinuities in the density field by several…

Computational Engineering, Finance, and Science · Computer Science 2024-11-04 Magdalena Schreter-Fleischhacker , Peter Munch , Nils Much , Martin Kronbichler , Wolfgang A. Wall , Christoph Meier