activity
20182026
most citedSegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud

18 citations · 53 across the 16 of their papers we have counts for

collaborators

17 papers

cs.GR2026

MaterialClusterGS: Palette-Based Material Decomposition and Physically-Based Relighting with 2D Gaussian Splatting

Hao Zhang, Ang Li, Boyan Du +6

We present MaterialClusterGS, a palette-based material decomposition framework for 2D Gaussian Splatting that enables physically based relighting and material editing. Existing Gau…

cs.GR2026

OctaOctree Neural Radiosity for Real-time Glossy Material Rendering

Jierui Ren, Haojie Jin, Bo Pang +4

Modeling high-frequency outgoing radiance distributions remains a fundamental challenge in global illumination, especially for glossy and specular materials. Existing neural-based…

cs.GR2026

PTIR-GS: Path-Traced Inverse Rendering with Global Illumination in 3D Gaussian Fields

Junke Zhu, Hao Zhang, Yutian Zhu +6

Ray tracing enables 3D Gaussian fields to serve as a representation for physically based light transport. Faithful inverse rendering requires forward rendering and backward optimiz…

cs.GR2025

NRRS: Neural Russian Roulette and Splitting

Haojie Jin, Jierui Ren, Yisong Chen +2

We propose a novel framework for Russian Roulette and Splitting (RRS) tailored to wavefront path tracing, a highly parallel rendering architecture that processes path states in bat…

cs.GR2025

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…

cs.GR2025

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…

cs.SD2025

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…

cs.GR2025

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…

cs.SD2025

NAT: Neural Acoustic Transfer for Interactive Scenes in Real Time

Xutong Jin, Bo Pang, Chenxi Xu +3

Previous acoustic transfer methods rely on extensive precomputation and storage of data to enable real-time interaction and auditory feedback. However, these methods struggle with…

cs.GR2025★ 15 cited

Neural Parametric Mixtures for Path Guiding

Honghao Dong, Guoping Wang, Sheng Li

Previous path guiding techniques typically rely on spatial subdivision structures to approximate directional target distributions, which may cause failure to capture spatio-directi…

cs.GR2025

Real-time Global Illumination for Dynamic 3D Gaussian Scenes

Chenxiao Hu, Meng Gai, Guoping Wang +1

We present a real-time global illumination approach along with a pipeline for dynamic 3D Gaussian models and meshes. Building on a formulated surface light transport model for 3D G…

cs.CV2024

Neural-Polyptych: Content Controllable Painting Recreation for Diverse Genres

Yiming Zhao, Dewen Guo, Zhouhui Lian +6

To bridge the gap between artists and non-specialists, we present a unified framework, Neural-Polyptych, to facilitate the creation of expansive, high-resolution paintings by seaml…

cs.SD2024★ 2 cited

DiffSound: Differentiable Modal Sound Rendering and Inverse Rendering for Diverse Inference Tasks

Xutong Jin, Chenxi Xu, Ruohan Gao +3

Accurately estimating and simulating the physical properties of objects from real-world sound recordings is of great practical importance in the fields of vision, graphics, and rob…

cs.DC2024★ 8 cited

Barrier-Augmented Lagrangian for GPU-based Elastodynamic Contact

Dewen Guo, Minchen Li, Yin Yang +2

We propose a GPU-based iterative method for accelerated elastodynamic simulation with the log-barrier-based contact model. While Newton's method is a conventional choice for solvin…

cs.SD2021

NeuralSound: Learning-based Modal Sound Synthesis With Acoustic Transfer

Xutong Jin, Sheng Li, Guoping Wang +1

We present a novel learning-based modal sound synthesis approach that includes a mixed vibration solver for modal analysis and an end-to-end sound radiation network for acoustic tr…

cs.CV2020★ 18 cited

SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud

Hongwei Yi, Shaoshuai Shi, Mingyu Ding +6

3D vehicle detection based on point cloud is a challenging task in real-world applications such as autonomous driving. Despite significant progress has been made, we observe two as…

cs.CV2018★ 10 cited

X-GANs: Image Reconstruction Made Easy for Extreme Cases

Longfei Liu, Sheng Li, Yisong Chen +1

Image reconstruction including image restoration and denoising is a challenging problem in the field of image computing. We present a new method, called X-GANs, for reconstruction…