Intern, Beyond RAHT: Attribute Transform Design for 3D Gaussian Splatting
Core
Design novel attribute transform techniques for 3D Gaussian Splatting to improve energy compaction and compression efficiency.
Role type
Research intern (compression algorithms)
Builds
Software modules (C++ functions, Python scripts) for 3D scene representation compression
Domain
Video coding, 3D graphics, signal processing
Required skills
C/C++, Python, 3D geometry, compression, computer vision, computer graphics
Preferred skills
Graph-based transforms, predictive modeling, machine learning
Technologies
C++, Python
Responsibilities
Analyze existing technologies and identify core challenges related to 3D Gaussian Splat compression; Contribute to the design and development of software solutions addressing these challenges; Implement, test, and validate the proposed components and algorithms; Communicate technical outcomes effectively, contributing to documentation, internal reports, and potentially to publications or intellectual property filings.
Seniority
Intern
