This dataverse is a collection of the College of Computing and Data Science’s research data.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 268 Results
MatAnyone: Stable Video Matting with Consistent Memory Propagation
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...
3DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement
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...
3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion
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...
Generative Gaussian Splatting for Unbounded 3D City Generation
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...
Related Data for: Hybrid Near- and Far-Field THz UM-MIMO Channel Estimation: A Sparsifying Matrix Learning-Aided Bayesian Approach
Feb 28, 2025 - Yuanjian LI
Li, Yuanjian; Madhukumar, A. S., 2025, "Related Data for: Hybrid Near- and Far-Field THz UM-MIMO Channel Estimation: A Sparsifying Matrix Learning-Aided Bayesian Approach", https://doi.org/10.21979/N9/HOX79X, DR-NTU (Data), V1
Python source code associated with the publication titled "Hybrid Near- and Far-Field THz UM-MIMO Channel Estimation: A Sparsifying Matrix Learning-Aided Bayesian Approach". These codes can be used to produce simulation figures in this publication.
Yuanjian LI(Nanyang Technological University)
Feb 28, 2025
Appointment: Research Fellow
GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation
Feb 5, 2025 - S-Lab for Advanced Intelligence
Lan, Yushi; Zhou, Shangchen; Lyu, Zhaoyang; Hong, Fangzhou; Yang, Shuai; Dai, Bo; Pan, Xingang; Loy, Chen Change, 2025, "GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation", https://doi.org/10.21979/N9/ZQ85KI, DR-NTU (Data), V1
While 3D content generation has advanced significantly, existing methods still face challenges with input formats, latent space design, and output representations. This paper introduces a novel 3D generation framework that addresses these challenges, offering scalable, high-quali...
Trajectory attention for fine-grained video motion control
Feb 4, 2025 - S-Lab for Advanced Intelligence
Xiao, Zeqi; Ouyang, Wenqi; Zhou, Yifan; Yang, Shuai; Yang, Lei; Si, Jianlou; Pan, Xingang, 2025, "Trajectory attention for fine-grained video motion control", https://doi.org/10.21979/N9/II0EM4, DR-NTU (Data), V1
Recent advancements in video generation have been greatly driven by video diffusion models, with camera motion control emerging as a crucial challenge in creating view-customized visual content. This paper introduces trajectory attention, a novel approach that performs attention...
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
Feb 4, 2025 - S-Lab for Advanced Intelligence
Liao, Kang; Yue, Zongsheng; Wang, Zhouxia; Loy, Chen Change, 2025, "Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration", https://doi.org/10.21979/N9/DMB2QK, DR-NTU (Data), V1
Although learning-based image restoration methods have made significant progress, they still struggle with limited generalization to real-world scenarios due to the substantial domain gap caused by training on synthetic data. Existing methods address this issue by improving data...
Host Pathogen Protein-Protein Interactions(Nanyang Technological University)
Feb 3, 2025KWOH Chee Keong
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.