3 papers
eess.IV2026
JOMP: Jointly-Optimized Mixed-Precision Quantization Across Neural Video Coding Frameworks and Buffering Strategies
Yu-Hsiang Lin, Ruhan Conceição, Chun-Hung Wu +5
Variational autoencoder-based neural video coding has demonstrated impressive rate-distortion performance. However, its adoption in real-world applications remains hindered by chal…
cs.CV2026
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…
cs.CV2025
Compressed Video Quality Enhancement: Classifying and Benchmarking over Standards
Xiem HoangVan, Dang BuiDinh, Sang NguyenQuang +1
Compressed video quality enhancement (CVQE) is crucial for improving user experience with lossy video codecs like H.264/AVC, H.265/HEVC, and H.266/VVC. While deep learning based CV…