3 papers
cs.GR2026
Smaller and Faster 3DGS via Post-Training Dictionary Learning
Jiarong Gong, Jonas Unger, Ehsan Miandji
3D Gaussian Splatting (3DGS) is a promising neural scene representation for real-time rendering, but trained models often suffer from large memory footprints, limiting deployment o…
cs.GR2025
FROST-BRDF: A Fast and Robust Optimal Sampling Technique for BRDF Acquisition
Ehsan Miandji, Tanaboon Tongbuasirilai, Saghi Hajisharif +2
Efficient and accurate BRDF acquisition of real world materials is a challenging research problem that requires sampling millions of incident light and viewing directions. To accel…
cs.CV2025
A Neural Quality Metric for BRDF Models
Behnaz Kavoosighafi, Rafal K. Mantiuk, Saghi Hajisharif +2
Accurately evaluating the quality of bidirectional reflectance distribution function (BRDF) models is essential for photo-realistic rendering. Traditional BRDF-space metrics often…