17 citations · 22 across the 3 of their papers we have counts for
4 papers
R4-CGQA: Retrieval-based Vision Language Models for Computer Graphics Image Quality Assessment
Zhuangzi Li, Jian Jin, Shilv Cai +1
Immersive Computer Graphics (CGs) rendering has become ubiquitous in modern daily life. However, comprehensively evaluating CG quality remains challenging for two reasons: First, e…
MUGSQA: Novel Multi-Uncertainty-Based Gaussian Splatting Quality Assessment Method, Dataset, and Benchmarks
Tianang Chen, Jian Jin, Shilv Cai +2
Gaussian Splatting (GS) has recently emerged as a promising technique for 3D object reconstruction, delivering high-quality rendering results with significantly improved reconstruc…
Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization Problem
Qiwen Zhu, Yanjie Wang, Shilv Cai +5
Training Single-Image Super-Resolution (SISR) models using pixel-based regression losses can achieve high distortion metrics scores (e.g., PSNR and SSIM), but often results in blur…
High-Fidelity Variable-Rate Image Compression via Invertible Activation Transformation
Shilv Cai, Zhijun Zhang, Liqun Chen +3
Learning-based methods have effectively promoted the community of image compression. Meanwhile, variational autoencoder (VAE) based variable-rate approaches have recently gained mu…