College of Computing and Data Science (CCDS)

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.

1 to 10 of 274 Results

SFDM: Robust Decomposition of Geometry and Reflectance for Realistic Face Rendering from Sparse-view Images 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...
Disco4D: Disentangled 4D Human Generation and Animation from a Single Image 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...
SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters 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...
AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation 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...
MEAT: Multiview Diffusion Model for Human Generation on Megapixels with Mesh Attention 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...
Arbitrary-steps Image Super-resolution via Diffusion Inversion 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...
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...

SFDM: Robust Decomposition of Geometry and Reflectance for Realistic Face Rendering from Sparse-view Images

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...

Disco4D: Disentangled 4D Human Generation and Animation from a Single Image

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...

SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters

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...

AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation

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...

MEAT: Multiview Diffusion Model for Human Generation on Megapixels with Mesh Attention

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...

Arbitrary-steps Image Super-resolution via Diffusion Inversion

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...

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...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications