From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
NanoGS: Training-Free Gaussian Splat Simplification
Butian Xiong, Rong Liu, Tiantian Zhou +3
NanoGS is a training-free method that simplifies 3D Gaussian Splat models by merging nearby primitives using moment matching, reducing storage while keeping visual quality.
cs.CV2026
LowDiff: Efficient Diffusion Sampling with Low-Resolution Condition
Jiuyi Xu, Qing Jin, Meida Chen +3
Diffusion models have achieved remarkable success in image generation but their practical application is often hindered by the slow sampling speed. Prior efforts of improving effic…
cs.CV2024
Open-Vocabulary High-Resolution 3D (OVHR3D) Data Segmentation and Annotation Framework
Jiuyi Xu, Meida Chen, Andrew Feng +2
In the domain of the U.S. Army modeling and simulation, the availability of high quality annotated 3D data is pivotal to creating virtual environments for training and simulations.…