Advances in Computer Graphics
Description
The three-volume set LNCS 15338, 15339 and 15340 constitutes the refereed proceedings from the 41st Computer Graphics International Conference, CGI 2024, held during July 1-5, 2024, in Geneva, Switzerland.
The 84 full papers presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers are organized in the following topical sections:
Part I: Colors, painting and layout; detection and recognition; image analysis and processing; image restoration and enhancement; and visual analytics and modeling.
Part II: Graphics and VR/AR; reconstruction; rendering and animation; and theoretical analysis.
Part III: Image analysis and visualization; image attention and perception; medical imaging and robotics; synthesis and generation; and empowering novel geometric algebra for graphics & engineering workshop.
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Content
Colors, Painting and Layout.- Blue Light Digital Filter with Accurate Color Representation, Contrast and Quality.- RRM: Relightable Assets using Radiance Guided Material Extraction.- DesignGAN: Generation of Hand-drawn Garment Sketches.- SCD: Statistical Color Distribution-based Objective Image Colorization Quality Assessment.- Detection and Recognition.- FMA-YOLO: An Algorithm for Detecting Vehicles and Pedestrians in Infrared Road Scenarios.- Automated Recognition of Gait Emotions.- Temporal Fusion Network for Continuous Sign Language Recognition.- SCB-LEDN: Lightweight and Efficient Object Detection Network for Student Classroom Behavior.- TunSLR-25: A New Static Tunisian Sign Language Recognition System.- YOLOv8-MGH: Dense Crowd Object Detection.- 3D Face Recognition with Contrastive Learning Network on Low-quality Data.- Image Analysis and Processing.- MambaDW: Semantic-Aware Mamba for Document Watermark Removal.- LSBNet: Lightweight Symmetrically Balanced Network for Real-time Semantic Segmentation.- Semantic Cross-Self-Reconstruction with Graph Convolutional Network for Zero-Shot Cross-Modal Retrieval.- BISRM: Geotechnical Borehole Image Super-resolution Method based on Conditional Diffusion Model.- Spectral Transforms for Caustic Denoising: A Comparative Analysis for Monte Carlo Rendering.- SCAR-UNet: An Improved Res-UNet with Channel and Spatial Attention for Coal Maceral Image Segmentation.- Image Restoration and Enhancement.- Multiple Weather Images Restoration using the Task Transformer and Adaptive Mixup Strategy.- Retinex-based Low-light Mural Image Enhancement with Color Correction.- ED-Net: Unified Enhancement-Denoising Deep Convolutional Network for Low-Light Mining Images.- Introducing Radex: Adaptive Parameterized Feature Extraction from Medical Images.- Visual Analytics and Modeling.- GSMC: A Global-local Scalable Multi-task Contrastive Learning Framework.- Web3D-Based Lightweight Simulation for Mass Evacuation at Transportation Hubs.-Decoupled Estimation of Human Pose and Shape for ICH Performance Video Based on L-C-HRNet.- DS-Seq: Deriving Smooth 3D Human Motion Sequences from Video Time Cues.- Construction and Visual Validation of Low-carbon Development Evaluation System for Urban Agglomerations.- Enhanced Plant Phenotyping Through Spatio-Temporal Point Cloud Registration.- DM-Vis: A Graph-based Data Reconnaissance System for Multi-domain Urban Data.