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20242026
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Showing 2024Show all

7 papers · 1 filter

cs.SD2024

Lungmix: A Mixup-Based Strategy for Generalization in Respiratory Sound Classification

Shijia Ge, Weixiang Zhang, Shuzhao Xie +2

Respiratory sound classification plays a pivotal role in diagnosing respiratory diseases. While deep learning models have shown success with various respiratory sound datasets, our…

cs.CV2024

EVOS: Efficient Implicit Neural Training via EVOlutionary Selector

Weixiang Zhang, Shuzhao Xie, Chengwei Ren +5

We propose EVOlutionary Selector (EVOS), an efficient training paradigm for accelerating Implicit Neural Representation (INR). Unlike conventional INR training that feeds all sampl…

cs.CV2024

Enhancing Implicit Neural Representations via Symmetric Power Transformation

Weixiang Zhang, Shuzhao Xie, Chengwei Ren +3

We propose symmetric power transformation to enhance the capacity of Implicit Neural Representation~(INR) from the perspective of data transformation. Unlike prior work utilizing r…

cs.CV2024

SizeGS: Size-aware Compression of 3D Gaussian Splatting via Mixed Integer Programming

Shuzhao Xie, Jiahang Liu, Weixiang Zhang +7

Recent advances in 3D Gaussian Splatting (3DGS) have greatly improved 3D reconstruction. However, its substantial data size poses a significant challenge for transmission and stora…

cs.CV2024

MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation

Shuzhao Xie, Weixiang Zhang, Chen Tang +4

3D Gaussian Splatting demonstrates excellent quality and speed in novel view synthesis. Nevertheless, the huge file size of the 3D Gaussians presents challenges for transmission an…

cs.CV2024

Expansive Supervision for Neural Radiance Field

Weixiang Zhang, Shuzhao Xie, Shijia Ge +3

Neural Radiance Field (NeRF) has achieved remarkable success in creating immersive media representations through its exceptional reconstruction capabilities. However, the computati…

cs.CV2024

Tuning-Free Visual Customization via View Iterative Self-Attention Control

Xiaojie Li, Chenghao Gu, Shuzhao Xie +3

Fine-Tuning Diffusion Models enable a wide range of personalized generation and editing applications on diverse visual modalities. While Low-Rank Adaptation (LoRA) accelerates the…