2 citations · 2 across the 8 of their papers we have counts for
8 papers · 1 filter
MISR: A Multi-Modal Multi-View Benchmark for 3D/4D Gaussian Splatting and Feedforward Compression
Xinhui Liu, Lei Liu, Zhenghao Chen +3
High-fidelity free-viewpoint video (FVV) and interactive rendering increasingly rely on explicit Gaussian representations, yet practical deployment remains constrained by represent…
Z-Order Transformer for Feed-Forward Gaussian Splatting
Can Wang, Lei Liu, Wei Jiang +1
Recent advances in 3D Gaussian Splatting (3DGS) have enabled significant progress in photorealistic novel view synthesis. However, traditional 3DGS relies on a slow, iterative opti…
4DGS-Craft: Consistent and Interactive 4D Gaussian Splatting Editing
Lei Liu, Can Wang, Zhenghao Chen +1
Recent advances in 4D Gaussian Splatting (4DGS) editing still face challenges with view, temporal, and non-editing region consistency, as well as with handling complex text instruc…
Versatile Video Representation via Feed-Forward 2D Gaussian Splatting Tokenization
Zhenghao Chen, Zicong Chen, Lei Liu +2
Recent video representation methods that rely on fixed-grid, patch-wise tokenization often exhibit limited versatility.Spatially, uniformly allocating a fixed number of tokens ofte…
3D Gaussian Splatting Data Compression with Mixture of Priors
Lei Liu, Zhenghao Chen, Dong Xu
3D Gaussian Splatting (3DGS) data compression is crucial for enabling efficient storage and transmission in 3D scene modeling. However, its development remains limited due to inade…
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks
Lei Liu, Zhenghao Chen, Zhihao Hu +1
While most existing neural image compression (NIC) and neural video compression (NVC) methodologies have achieved remarkable success, their optimization is primarily focused on hum…
HEMGS: A Hybrid Entropy Model for 3D Gaussian Splatting Data Compression
Lei Liu, Zhenghao Chen, Wei Jiang +2
In this work, we propose a novel compression framework for 3D Gaussian Splatting (3DGS) data. Building on anchor-based 3DGS methodologies, our approach compresses all attributes wi…
Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor
Lei Liu, Zhihao Hu, Zhenghao Chen
Point cloud compression has garnered significant interest in computer vision. However, existing algorithms primarily cater to human vision, while most point cloud data is utilized…