101 to 110 of 206 Results
Jun 3, 2025 - S-Lab for Advanced Intelligence
Zhou, Yifan; Xiao, Zeqi; Yang, Shuai; Pan, Xingang, 2025, "Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent Space", https://doi.org/10.21979/N9/Y6AOQH, DR-NTU (Data), V1
Latent Diffusion Models (LDMs) are known to have an unstable generation process, where even small perturbations or shifts in the input noise can lead to significantly different outputs. This hinders their applicability in applications requiring consistent results. In this work, w... |
Jun 3, 2025 - S-Lab for Advanced Intelligence
Shen, Liao; Liu, Tianqi; Sun, Huiqiang; Li, Jiaqi; Cao, Zhiguo; Li, Wei; Loy, Chen Change, 2025, "DoF-Gaussian: Controllable Depth-of-Field for 3D Gaussian Splatting", https://doi.org/10.21979/N9/JKJHNJ, DR-NTU (Data), V1
Recent advances in 3D Gaussian Splatting (3D-GS) have shown remarkable success in representing 3D scenes and generating high-quality, novel views in real-time. However, 3D-GS and its variants assume that input images are captured based on pinhole imaging and are fully in focus. T... |
May 28, 2025 - Binu KUNDUKAD
Kundukad, Binu, 2025, "Replication Data for: Alginate exopolymer significantly modulates the viscoelastic properties and resilience of bacterial biofilms", https://doi.org/10.21979/N9/WBIFH6, DR-NTU (Data), V1, UNF:6:MJioZwH7bYme6r9P07lTpw== [fileUNF]
The data set contains the raw data of the microscopy image files of biofilms and the recolonizing bacteria, the mat files used to generate the mean square displacements in particle tracking experiments (before during and after treatment with NAC), excel files with compiled data u... |
Wilkowski, David, 2025, "Related Data for: Topological optical skyrmion transfer to matter", https://doi.org/10.21979/N9/EAVRTG, DR-NTU (Data), V2, UNF:6:lwjP4tuiAt8pFa4bWpuLuQ== [fileUNF]
Source file for Topological optical skyrmion transfer to matter |
May 23, 2025 - HE Huajun
He, Huajun; Wang, Bo; Shen, Xuhai; Feng, Minjun; Rao, Haixia; Ye, Senyun; Nguyen, Linh Lan; Duchamp, Martial; Li, Shuzhou; Tian, He; Sum, Tze Chien, 2025, "Replication Data for: Aqueous Colloidal Perovskite Quantum Emitters", https://doi.org/10.21979/N9/8YTAAI, DR-NTU (Data), V1
Aqueous solutions of nanoparticles are the cornerstones for applications in diagnostics, catalysis and more, where control over the nanoparticle's dispersion is pivotal to tailoring the final product properties. Of late, halide perovskite nanocrystals (HPNCs) with outstanding opt... |
Ng, Chin Siang, 2025, "Effects of Zinc Oxide Nanoparticles on Vat Photopolymerziation", https://doi.org/10.21979/N9/36TOLK, DR-NTU (Data), V1
Benchmarking images to observe overcuring, tensile tests and DMA results.. |
May 22, 2025 - S-Lab for Advanced Intelligence
Xu, Yuanmu; Hou, Guanli; Hu, Jiangbei; Ren, Tenglong; Wang, Xiaokun; Zhang, Yalan; Ban, Xiaojuan; Qian, Chen; Hou, Fei; He, Ying, 2025, "NeuS: Physics and Geometry-Augmented Neural Implicit Surfaces for Rigid Bodies", https://doi.org/10.21979/N9/LTXKFL, DR-NTU (Data), V1
This paper tackles the challenges of physics-based simulation of rigid bodies in neural rendering, focusing on 3D model representation and collision handling. A synthetic and real-world dataset is also included in the paper. |
May 22, 2025 - S-Lab for Advanced Intelligence
Xu, Qianxiong; Zhu, Lanyun; Liu, Xuanyi; Lin, Guosheng; Long, Cheng; Li, Ziyue; Zhao, Rui, 2025, "Unlocking the Power of SAM 2 for Few-Shot Segmentation", https://doi.org/10.21979/N9/XIDXVT, DR-NTU (Data), V1
Few-Shot Segmentation (FSS) aims to learn class-agnostic segmentation on few classes to segment arbitrary classes, but at the risk of overfitting. To address this, some methods use the well-learned knowledge of foundation models (e.g., SAM) to simplify the learning process. Recen... |
May 20, 2025 - TAN Fangyi
Tan, Fangyi; Samanta, Dhrubajyoti, 2025, "Replication Data for: Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data", https://doi.org/10.21979/N9/HEXBWR, DR-NTU (Data), V1, UNF:6:Cl3gQnI/p2qdkYLRycqjDQ== [fileUNF]
This dataset contains the supplementary files and data that were used to produce the manuscript titled: "Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data". |
May 16, 2025 - S-Lab for Advanced Intelligence
Liu, Chenxi; Miao, Hao; Xu, Qianxiong; Zhou, Shaowen; Long, Cheng; Zhao, Yan; Li, Ziyue, 2025, "Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation", https://doi.org/10.21979/N9/6WWC6K, DR-NTU (Data), V1
Multivariate time series forecasting (MTSF) endeavors to predict future observations given historical data, playing a crucial role in time series data management systems. With advancements in large language models (LLMs), recent studies employ textual prompt tuning to infuse the... |
