5 papers
Seeing What Matters: Perceptual Wrapper with Common Randomness for 3D Gaussian Splatting
He-Bi Yang, Jing-Zhong Chen, Yen-Kuan Ho +5
While 3D Gaussian Splatting (3DGS) achieves impressive real-time rendering, it frequently struggles to synthesize high-frequency textures, a limitation heavily exacerbated in memor…
MEGA-PCC: A Mamba-based Efficient Approach for Joint Geometry and Attribute Point Cloud Compression
Kai-Hsiang Hsieh, Monyneath Yim, Wen-Hsiao Peng +1
Joint compression of point cloud geometry and attributes is essential for efficient 3D data representation. Existing methods often rely on post-hoc recoloring procedures and manual…
TED-4DGS: Temporally Activated and Embedding-based Deformation for 4DGS Compression
Cheng-Yuan Ho, He-Bi Yang, Jui-Chiu Chiang +2
Building on the success of 3D Gaussian Splatting (3DGS) in static 3D scene representation, its extension to dynamic scenes, commonly referred to as 4DGS or dynamic 3DGS, has attrac…
CAT-3DGS Pro: A New Benchmark for Efficient 3DGS Compression
Yu-Ting Zhan, He-bi Yang, Cheng-Yuan Ho +2
3D Gaussian Splatting (3DGS) has shown immense potential for novel view synthesis. However, achieving rate-distortion-optimized compression of 3DGS representations for transmission…
CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression
Yu-Ting Zhan, Cheng-Yuan Ho, Hebi Yang +4
3D Gaussian Splatting (3DGS) has recently emerged as a promising 3D representation. Much research has been focused on reducing its storage requirements and memory footprint. Howeve…