141 to 150 of 206 Results
Mar 31, 2025 - Xinwen MIAO
Miao, Xinwen, 2025, "Related Data for: CHIKV nsP1 manuscript", https://doi.org/10.21979/N9/INZ1S1, DR-NTU (Data), V1, UNF:6:7Vk6bDjP8u0GdZl2dr1MkA== [fileUNF]
This dataset include the data for CHIKV nsP1 manuscript |
Mar 25, 2025 - Shirley HO
Ho, Shirley S., 2025, "Facing plastic waste through virtual reality (VR): using narratives to promote plastic recycling behaviours among youths", https://doi.org/10.21979/N9/NPXDEY, DR-NTU (Data), V1, UNF:6:HFNTT3aSCa9f+dWlbNl/Yg== [fileUNF]
Cleaned Data from VR experiments, including measures & codebook |
Mar 22, 2025 - Ruchi CHOUDHARY
Choudhary, Ruchi, 2025, "Replication Data for: Confocal images of optodroplet system of various c-MYC constructs", https://doi.org/10.21979/N9/DUJJ55, DR-NTU (Data), V1
This data contains raw confocal images of optodroplet system of various c-MYC constructs as well as negative and positive controls. |
Mar 20, 2025 - Weng Ngai LAM
Lam, Weng Ngai, 2025, "Replication Data for: Ecological drivers of nutrient runoff from natural and managed vegetation types", https://doi.org/10.21979/N9/U9KAIH, DR-NTU (Data), V1, UNF:6:NKr4dLKhdZeTkrAyseNURw== [fileUNF]
Tree inventory, tree wood densities, litterfall production, and litter trait data. |
Mar 19, 2025 - S-Lab for Advanced Intelligence
Jin, Daisheng; Hu, Jiangbei; Xu, Baixin; Dai, Yuxin; Qian, Chen; He, Ying, 2025, "SFDM: Robust Decomposition of Geometry and Reflectance for Realistic Face Rendering from Sparse-view Images", https://doi.org/10.21979/N9/3DCDXV, DR-NTU (Data), V1
In this study, we introduce a novel two-stage technique for decomposing and reconstructing facial features from sparse-view images, a task made challenging by the unique geometry and complex skin reflectance of each individual. To synthesize 3D facial models more realistically, w... |
Mar 19, 2025 - S-Lab for Advanced Intelligence
Pang, Hui En; Liu, Shuai; Cai, Zhongang; Lei, Yang; Zhang, Tianwei; Liu, Ziwei, 2025, "Disco4D: Disentangled 4D Human Generation and Animation from a Single Image", https://doi.org/10.21979/N9/VX5WAH, DR-NTU (Data), V1
We present Disco4D, a novel Gaussian Splatting framework for 4D human generation and animation from a single image. Different from existing methods, Disco4D distinctively disentangles clothings (with Gaussian models) from the human body (with SMPL-X model), significantly enhancin... |
Mar 19, 2025 - S-Lab for Advanced Intelligence
Jiang, Jianping; Xiao, Weiye; Lin, Zhengyu; Zhang, Huaizhong; Ren, Tianxiang; Gao, Yang; Lin, Zhiqian; Cai, Zhongang; Yang, Lei; Liu, Ziwei, 2025, "SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters", https://doi.org/10.21979/N9/GYJNH1, DR-NTU (Data), V1
Human beings are social animals. How to equip 3D autonomous characters with similar social intelligence that can perceive, understand and interact with humans remains an open yet foundamental problem. In this paper, we introduce SOLAMI, the first end-to-end Social vision-Language... |
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 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... |
