1 citations · 2 across the 8 of their papers we have counts for
8 papers
Splatwizard: A Benchmark Toolkit for 3D Gaussian Splatting Compression
Xiang Liu, Yimin Zhou, Jinxiang Wang +9
The recent advent of 3D Gaussian Splatting (3DGS) has marked a significant breakthrough in real-time novel view synthesis. However, the rapid proliferation of 3DGS-based algorithms…
EDPC: Accelerating Lossless Compression via Lightweight Probability Models and Decoupled Parallel Dataflow
Zeyi Lu, Xiaoxiao Ma, Yujun Huang +4
The explosive growth of multi-source multimedia data has significantly increased the demands for transmission and storage, placing substantial pressure on bandwidth and storage inf…
3D-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric Priors
Yujun Huang, Bin Chen, Niu Lian +2
Existing multi-view image compression methods often rely on 2D projection-based similarities between views to estimate disparities. While effective for small disparities, such as t…
MB-RACS: Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network
Yujun Huang, Bin Chen, Naiqi Li +3
Conventional compressed sensing (CS) algorithms typically apply a uniform sampling rate to different image blocks. A more strategic approach could be to allocate the number of meas…
FFCA-Net: Stereo Image Compression via Fast Cascade Alignment of Side Information
Yichong Xia, Yujun Huang, Bin Chen +2
Multi-view compression technology, especially Stereo Image Compression (SIC), plays a crucial role in car-mounted cameras and 3D-related applications. Interestingly, the Distribute…
Perceptual Image Compression with Cooperative Cross-Modal Side Information
Shiyu Qin, Bin Chen, Yujun Huang +3
The explosion of data has resulted in more and more associated text being transmitted along with images. Inspired by from distributed source coding, many works utilize image side i…
Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases
Wentao Zhang, Yujun Huang, Tong Zhang +3
Currently intelligent diagnosis systems lack the ability of continually learning to diagnose new diseases once deployed, under the condition of preserving old disease knowledge. In…
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain
Yujun Huang, Bin Chen, Shiyu Qin +4
Beyond achieving higher compression efficiency over classical image compression codecs, deep image compression is expected to be improved with additional side information, e.g., an…