Presentation

<
CAGS: Color-Adaptive Volumetric Video Streaming with Dynamic 3D Gaussian Splatting
SessionDynamic Scenes
DescriptionCAGS is a novel color-adaptive system for 3D Gaussian Splatting that enables high-quality, immersive volumetric video streaming. By utilizing vector quantization and reference images for color restoration, CAGS overcomes bandwidth limitations, delivering significantly faster speeds and superior visual quality compared to existing solutions under fluctuating networks.
Authors
Daheng Yin
Simon Fraser University
Yili Jin
McGill University
Simon Fraser University
Jianxin Shi
Nankai University
Simon Fraser University
Isaac Ding
Simon Fraser University
Miao Zhang
Simon Fraser University
Fangxin Wang
The Chinese University of Hong Kong
Zhaowu Huang
Fuzhou University
Southeast University
Cong Zhang
Simon Fraser University
Jiangchuan Liu
Simon Fraser University
Fang Dong
Southeast University
Event Type
Technical Paper
TimeTuesday, 21 July 202611:05am - 11:15am PDT
LocationRoom 408 B
Digital Library PDF
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Tuesday, 21 July 202610:45am - 12:15pm PDTRoom 408 B
Keywords
Rendering
Registration Categories
Full Conference Supporter
Full Conference
Next PresentationNext PresentationTSMC: Time-varying 4D Scene Mesh Compression
Similar Presentations
Colorful-Noise: Training-Free Low-Frequency Noise Manipulation for Color-Based Conditional Image Generation
LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models
Implicit Surface Compression -- with Good Old Discrete Cosine Transform and Motion Compensation