15 citations · 57 across the 17 of their papers we have counts for
18 papers
Occlusion-Point Reuse for Ray-Traced Ambient Occlusion and Shadow
Haojie Jin, Fujia Su, Zehui Lin +9
Ambient occlusion (AO) and soft shadows are critical visibility cues for spatial perception in real-time rendering. Hardware ray tracing provides a direct way to evaluate these eff…
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…
BlitzGS: City-Scale Gaussian Splatting at Lightning Speed
Zhongtao Wang, Huishan Au, Yilong Li +6
Large-scale 3D Gaussian Splatting underpins digital twins, simulation, and aerial mapping, yet city-scale training remains computationally expensive even with multi-GPU execution b…
DualSplat: Robust 3D Gaussian Splatting via Pseudo-Mask Bootstrapping from Reconstruction Failures
Xu Wang, Zhiru Wang, Shiyun Xie +2
While 3D Gaussian Splatting (3DGS) achieves real-time photorealistic rendering, its performance degrades significantly when training images contain transient objects that violate m…
GVGS: Gaussian Visibility-Aware Multi-View Geometry for Accurate Surface Reconstruction
Mai Su, Qihan Yu, Zhongtao Wang +5
3D Gaussian Splatting (3DGS) enables efficient rendering, yet accurate surface reconstruction remains challenging due to unreliable geometric supervision. Existing approaches predo…
ChronoGS: Disentangling Invariants and Changes in Multi-Period Scenes
Zhongtao Wang, Jiaqi Dai, Qingtian Zhu +8
Multi-period image collections are common in real-world applications. Cities are re-scanned for mapping, construction sites are revisited for progress tracking, and natural regions…
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…
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…
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…
HUG: Hierarchical Urban Gaussian Splatting with Block-Based Reconstruction for Large-Scale Aerial Scenes
Mai Su, Zhongtao Wang, Huishan Au +5
3DGS is an emerging and increasingly popular technology in the field of novel view synthesis. Its highly realistic rendering quality and real-time rendering capabilities make it pr…
SAIP-Net: Enhancing Remote Sensing Image Segmentation via Spectral Adaptive Information Propagation
Zhongtao Wang, Xizhe Cao, Yisong Chen +1
Semantic segmentation of remote sensing imagery demands precise spatial boundaries and robust intra-class consistency, challenging conventional hierarchical models. To address limi…
AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network
Zizhuang Wei, Qingtian Zhu, Chen Min +2
In this paper, we present a novel recurrent multi-view stereo network based on long short-term memory (LSTM) with adaptive aggregation, namely AA-RMVSNet. We firstly introduce an i…
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking
Jianfeng Yan, Zizhuang Wei, Hongwei Yi +5
In this paper, we propose an efficient and effective dense hybrid recurrent multi-view stereo net with dynamic consistency checking, namely HC-RMVSNet, for accurate dense po…
Bundle Adjustment Revisited
Yu Chen, Yisong Chen, Guoping Wang
3D reconstruction has been developing all these two decades, from moderate to medium size and to large scale. It's well known that bundle adjustment plays an important role in 3D r…
Graph-Based Parallel Large Scale Structure from Motion
Yu Chen, Shuhan Shen, Yisong Chen +1
While Structure from Motion (SfM) achieves great success in 3D reconstruction, it still meets challenges on large scale scenes. In this work, large scale SfM is deemed as a graph p…
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation
Hongwei Yi, Zizhuang Wei, Mingyu Ding +4
n this paper, we propose an effective and efficient pyramid multi-view stereo (MVS) net with self-adaptive view aggregation for accurate and complete dense point cloud reconstructi…
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…
Foreground segmentation based on multi-resolution and matting
Xintong Yu, Xiaohan Liu, Yisong Chen
We propose a foreground segmentation algorithm that does foreground extraction under different scales and refines the result by matting. First, the input image is filtered and resa…