2 citations · 2 across the 11 of their papers we have counts for
11 papers
HGC-Avatar: Hierarchical Gaussian Compression for Streamable Dynamic 3D Avatars
Haocheng Tang, Ruoke Yan, Xinhui Yin +5
Recent advances in 3D Gaussian Splatting (3DGS) have enabled fast, photorealistic rendering of dynamic 3D scenes, showing strong potential in immersive communication. However, in d…
MAFS: Masked Autoencoder for Infrared-Visible Image Fusion and Semantic Segmentation
Liying Wang, Xiaoli Zhang, Chuanmin Jia +1
Infrared-visible image fusion methods aim at generating fused images with good visual quality and also facilitate the performance of high-level tasks. Indeed, existing semantic-dri…
TinySplat: Feedforward Approach for Generating Compact 3D Scene Representation
Zetian Song, Jiaye Fu, Jiaqi Zhang +4
The recent development of feedforward 3D Gaussian Splatting (3DGS) presents a new paradigm to reconstruct 3D scenes. Using neural networks trained on large-scale multi-view dataset…
ProSplat: Improved Feed-Forward 3D Gaussian Splatting for Wide-Baseline Sparse Views
Xiaohan Lu, Jiaye Fu, Jiaqi Zhang +3
Feed-forward 3D Gaussian Splatting (3DGS) has recently demonstrated promising results for novel view synthesis (NVS) from sparse input views, particularly under narrow-baseline con…
Emerging Advances in Learned Video Compression: Models, Systems and Beyond
Chuanmin Jia, Feng Ye, Siwei Ma +3
Video compression is a fundamental topic in the visual intelligence, bridging visual signal sensing/capturing and high-level visual analytics. The broad success of artificial intel…
ShiftLIC: Lightweight Learned Image Compression with Spatial-Channel Shift Operations
Youneng Bao, Wen Tan, Chuanmin Jia +3
Learned Image Compression (LIC) has attracted considerable attention due to their outstanding rate-distortion (R-D) performance and flexibility. However, the substantial computatio…