3d reconstruction 1convolutional neural networks 1displacement mapping 1multi-view imaging 1neural rendering 1shader 1
From the 1 of 3 papers with an AI index.
2 citations
- Dongduk Women's UniversityKR1 paper
- ETH ZurichCH1 paper
- Jeonbuk National UniversityKR1 paper
- Kangwon National UniversityKR1 paper
- Korea Advanced Institute of Science and TechnologyKR1 paper
- Korea UniversityKR1 paper
- Nanyang Technological UniversitySG1 paper
- Sookmyung Women's UniversityKR1 paper
- University of SeoulKR1 paper
- Yonsei UniversityKR1 paper
3 papers
cs.CR2026
MIFA: An MILP-based Framework for Improving Differential Fault Attacks
Hanbeom Shin, Insung Kim, Sunyeop Kim +6
At ASIACRYPT 2021, Baksi et al. introduced DEFAULT, a block cipher designed to algorithmically resist Differential Fault Attack (DFA), claiming 64-bit DFA security regardless of th…
cs.CV2026
Convolutional Neural Shading for High-Quality 3D Reconstruction from Multi-View Images
Juheon Hwang, Taewan Kim, Heeseok Oh +1
The paper introduces Convolutional Neural Shading (CNS), a pipeline that uses a convolutional neural shader and a fine-detail displacement network to improve the accuracy of 3D sha…
cs.CV2026★ 2 cited
VRGaussianAvatar: Integrating 3D Gaussian Avatars into VR
Hail Song, Boram Yoon, Seokhwan Yang +4
We present VRGaussianAvatar, an integrated system that enables real-time full-body 3D Gaussian Splatting (3DGS) avatars in virtual reality using only head-mounted display (HMD) tra…