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Deposit, archive and share your final research data in DR-NTU (Data)


Mission: DR-NTU (Data) curates, stores, preserves, makes available and enables the download of digital data generated by the NTU research community. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.

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What can be deposited? Final research data from projects carried out at NTU. The uploaded content must not infringe upon the copyrights or other intellectual property rights, and must be void of all identifiable information.

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1 to 10 of 3,024 Results
Mar 13, 2025 - S-Lab for Advanced Intelligence
Cao, Yukang; Pan, Liang; Han, Kai; Wong, Kwan-Yee K.; Liu, Ziwei, 2025, "AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation", https://doi.org/10.21979/N9/IAVWOS, DR-NTU (Data), V1
Recent advancements in diffusion models have led to significant improvements in the generation and animation of 4D full-body human-object interactions (HOI). Nevertheless, existing methods primarily focus on SMPL-based motion generation, which is limited by the scarcity of realis...
Mar 13, 2025 - S-Lab for Advanced Intelligence
Wang, Yuhan; Hong, Fangzhou; Yang, Shuai; Jiang, Liming; Wu, Wayne; Loy, Chen Change, 2025, "MEAT: Multiview Diffusion Model for Human Generation on Megapixels with Mesh Attention", https://doi.org/10.21979/N9/KRAFDD, DR-NTU (Data), V1
Multiview diffusion models have shown considerable success in image-to-3D generation for general objects. However, when applied to human data, existing methods have yet to deliver promising results, largely due to the challenges of scaling multiview attention to higher resolution...
Mar 12, 2025 - NIE Data Repository (Harvested)
Kwok, Boon Chong; Soh, Rachel En Che; Smith, Helen Elizabeth; Kong, Pui Wah, 2025, "Related Data for: Clinical pilates exercises for adults with chronic low back pain improves single-leg squat postural control and lumbopelvic-hip flexibility", https://doi.org/10.25340/R4/ULSL09
Background Pilates is a frequently used management strategy for chronic low back pain for its efficacy in pain relief and function. However, movement performance changes such as single-leg squat have not been studied. It is unclear if simple movement-specific Pilates exercises le...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Mar 11, 2025 - S-Lab for Advanced Intelligence
Yue, Zongsheng; Liao, Kang; Loy, Chen Change, 2025, "Arbitrary-steps Image Super-resolution via Diffusion Inversion", https://doi.org/10.21979/N9/SZJQME, DR-NTU (Data), V1
This study presents a new image super-resolution (SR) technique based on diffusion inversion, aiming at harnessing the rich image priors encapsulated in large pre-trained diffusion models to improve SR performance. We design a Partial noise Prediction strategy to construct an int...
Mar 10, 2025 - S-Lab for Advanced Intelligence
Yang, Peiqing; Zhou, Shangchen; Zhao, Jixin; Tao, Qingyi; Loy, Chen Change, 2025, "MatAnyone: Stable Video Matting with Consistent Memory Propagation", https://doi.org/10.21979/N9/EN6LQI, DR-NTU (Data), V1
Auxiliary-free human video matting methods, which rely solely on input frames, often struggle with complex or ambiguous backgrounds. To tackle this, we propose MatAnyone, a practical framework designed for target-assigned video matting. Specifically, building on a memory-based fr...
Mar 10, 2025 - S-Lab for Advanced Intelligence
Luo, Yihang; Zhou, Shangchen; Lan, Yushi; Pan, Xingang; Loy, Chen Change, 2025, "3DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement", https://doi.org/10.21979/N9/3ARCLF, DR-NTU (Data), V1
Despite advances in neural rendering, due to the scarcity of high-quality 3D datasets and the inherent limitations of multi-view diffusion models, view synthesis and 3D model generation are restricted to low resolutions with suboptimal multi-view consistency. In this study, we pr...
Mar 10, 2025 - S-Lab for Advanced Intelligence
Chen, Zhaoxi; Tang, Jiaxiang; Dong, Yuhao; Cao, Ziang; Hong, Fangzhou; Lan, Yushi; Wang,Tengfei; Xie, Haozhe; Wu, Tong; Saito, Shunsuke; Pan, Liang; Lin, Dahua; Liu, Ziwei, 2025, "3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion", https://doi.org/10.21979/N9/VMPHUZ, DR-NTU (Data), V1
The increasing demand for high-quality 3D assets across various industries necessitates efficient and automated 3D content creation. Despite recent advancements in 3D generative models, existing methods still face challenges with optimization speed, geometric fidelity, and the la...
Mar 10, 2025 - S-Lab for Advanced Intelligence
Xie, Haozhe; Chen, Zhaoxi; Hong, Fangzhou; Liu, Ziwei, 2025, "Generative Gaussian Splatting for Unbounded 3D City Generation", https://doi.org/10.21979/N9/JMQHVG, DR-NTU (Data), V1
3D city generation with NeRF-based methods shows promising generation results but is computationally inefficient. Recently 3D Gaussian Splatting (3D-GS) has emerged as a highly efficient alternative for object-level 3D generation. However, adapting 3D-GS from finite-scale 3D obje...
Mar 10, 2025 - CHEN Yuan
Chen, Yuan; Cobb, Alexander R; Müller, Moritz; Zinke, Jens; Sukri, Rahayu Sukmaria; Nagarajan, Ramasamy; Ravichandran, Sharveen; Ali, Abdulmajid Muhammad; Martin, Patrick, 2025, "Replication Data for: Degradability and remineralization of peat-derived terrestrial dissolved organic carbon in the Sunda Shelf Sea", https://doi.org/10.21979/N9/1CGHXV, DR-NTU (Data), V1
Dataset and code for the analysis in this study.
Mar 10, 2025 - David WILKOWSKI
Wilkowski, David, 2025, "Document for Topological optical skyrmion transfer to matter", https://doi.org/10.21979/N9/EAVRTG, DR-NTU (Data), V1
Source file for Topological optical skyrmion transfer to matter
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