18 citations · 43 across the 14 of their papers we have counts for
15 papers
VibraVerse: A Large-Scale Geometry-Acoustics Alignment Dataset for Physically-Consistent Multimodal Learning
Bo Pang, Chenxi Xu, Jierui Ren +2
Understanding the physical world requires perceptual models grounded in physical laws rather than mere statistical correlations. However, existing multimodal learning frameworks, f…
Neural Cone Radiosity for Interactive Global Illumination with Glossy Materials
Jierui Ren, Haojie Jin, Bo Pang +3
Modeling of high-frequency outgoing radiance distributions has long been a key challenge in rendering, particularly for glossy material. Such distributions concentrate radiative en…
Geometry-Aware Global Feature Aggregation for Real-Time Indirect Illumination
Meng Gai, Guoping Wang, Sheng Li
Real-time rendering with global illumination is crucial to afford the user realistic experience in virtual environments. We present a learning-based estimator to predict diffuse in…
SonicRadiation: A Hybrid Numerical Solution for Sound Radiation without Ghost Cells
Xutong Jin, Fei Zhu, Guoping Wang +1
Interactive synthesis of physical sound effects is crucial in digital media production. Sound radiation simulation, a key component of physically based sound synthesis, has posed c…
Vertex Features for Neural Global Illumination
Rui Su, Honghao Dong, Haojie Jin +3
Recent research on learnable neural representations has been widely adopted in the field of 3D scene reconstruction and neural rendering applications. However, traditional feature…
CmFNet: Cross-modal Fusion Network for Weakly-supervised Segmentation of Medical Images
Dongdong Meng, Sheng Li, Hao Wu +4
Accurate automatic medical image segmentation relies on high-quality, dense annotations, which are costly and time-consuming. Weakly supervised learning provides a more efficient a…