10th International Conference on Computer Graphics and Virtuality (ICCGV 2027)

Publication All accepted papers after proper registration and presentation will be published in the ICCGV 2027 Conference Proceedings, which will be submitted to be indexed by Ei Compendex, Scopus. ICCGV 2025 Proceedings | SPIE digital Library | EI Compendex & Scopus ICCGV 2024 Proceedings | SPIE digital Library | EI Compendex & Scopus Call for paper Track 1: 3D Modeling & Geometry Processing Neural Radiance Fields (NeRF) and Implicit Reconstruction 3D Gaussian Splatting (3D GS) and Point Cloud Processing Geometric Deep Learning and Mesh Optimization Large-Scale Scene and Urban-Level Modeling Virtual Human and Digital Twin Modeling Track 2: High-Performance Rendering & Photorealism Real-Time Ray Tracing and Hybrid Rendering Neural Rendering and AI Acceleration Volume Rendering and Atmospheric Effects Mobile/Low-Power Rendering Immersive Projection and Display Technology Track 3: Immersive Interaction & XR Technology Multi-Modal Interaction and Haptic Feedback Avatar and Embodied Perception Multi-User Collaboration and Distributed XR XR Perception and Comfort Optimization Tracking and Sensing Technology XR Ethics and Security Track 4: AI Graphics & Visualization Applications Application of Multi-Modal Large Models in Computer Graphics Scientific and Big Data Visualization Image/Video Processing and Enhancement Applications of Computer Graphics in Autonomous Driving/Robotics Digital Cultural Heritage and Virtual Museums Educational and Medical Simulation Applications For details about topics, please visit at https://www.iccgv.org/cfp.html Submission 1. Full paper(publication and presentation) 2. Abstract (presentation only) There are two methods for submitting your paper: 1. By Electronic Submission System: https://www.zmeeting.org/submission/iccgv2027 2. By our contact email: [email protected] More detail about submission, please visit at https://www.iccgv.org/sub.html Contact Ms. Riley Chen (Conference Secretary) Email: [email protected] Telephone: +86-18080018263 (Working hour: GMT+8 10:00 am to 5:30 pm)