CAGS delivers 5-20 dB higher PSNR in volumetric video streaming by applying a color-adaptive scheme with vector quantization on 3D Gaussians and server-rendered reference images for client-side color restoration.
year 2023
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
ABot-M0 unifies heterogeneous robot data into a 6-million-trajectory dataset and introduces Action Manifold Learning to predict stable actions on a low-dimensional manifold using a DiT backbone.
citing papers explorer
-
CAGS: Color-Adaptive Volumetric Video Streaming with Dynamic 3D Gaussian Splatting
CAGS delivers 5-20 dB higher PSNR in volumetric video streaming by applying a color-adaptive scheme with vector quantization on 3D Gaussians and server-rendered reference images for client-side color restoration.
-
ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning
ABot-M0 unifies heterogeneous robot data into a 6-million-trajectory dataset and introduces Action Manifold Learning to predict stable actions on a low-dimensional manifold using a DiT backbone.