4 papers
InstanceRSR: Real-World Super-Resolution via Instance-Aware Representation Alignment
Zixin Guo, Kai Zhao, Luyan Zhang
Existing real-world super-resolution (RSR) methods based on generative priors have achieved remarkable progress in producing high-quality and globally consistent reconstructions. H…
Multiscale Feature Importance-based Bit Allocation for End-to-End Feature Coding for Machines
Junle Liu, Yun Zhang, Zixi Guo
Feature Coding for Machines (FCM) aims to compress intermediate features effectively for remote intelligent analytics, which is crucial for future intelligent visual applications.…
Deep-JGAC: End-to-End Deep Joint Geometry and Attribute Compression for Dense Colored Point Clouds
Yun Zhang, Zixi Guo, Linwei Zhu +1
Colored point cloud becomes a fundamental representation in the realm of 3D vision. Effective Point Cloud Compression (PCC) is urgently needed due to huge amount of data. In this p…
TSC-PCAC: Voxel Transformer and Sparse Convolution Based Point Cloud Attribute Compression for 3D Broadcasting
Zixi Guo, Yun Zhang, Linwei Zhu +2
Point cloud has been the mainstream representation for advanced 3D applications, such as virtual reality and augmented reality. However, the massive data amounts of point clouds is…