Tie-Song Zhao

MIMONet significantly enhances salient object detection by effectively learning size variations through multi-scale input and output strategies.

VGGD achieves superior rendering quality and geometric consistency by integrating pretrained visual geometry priors into the reconstruction process.

ANCHOR reveals that using the current frame as a reliable anchor can significantly enhance video restoration quality by addressing spatial inconsistencies.

Traditional image quality assessment falls short for 3D scenes, but a new framework captures spatial structure and consistency, revolutionizing how we evaluate 3D Gaussian Splatting.

Bio-SFT achieves superior HDR reconstruction by leveraging biological principles, outperforming conventional methods in both quality and efficiency.

Fidelity metrics can be fooled: evaluating low-level image processing requires a new approach that directly measures preservation of semantic content.

Turns out, you can get significantly better image quality assessment just by intelligently combining deep features across different spatial scales.

Achieve comparable deformation measurement accuracy with only 19% of the data storage and processing resources by fusing event streams and frames.