College of Computing and Data Science (CCDS)

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21 to 30 of 223 Results

MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers Apr 9, 2025 - S-Lab for Advanced Intelligence Chen, Yiwen; He, Tong; Di, Huang; Ye, Weicai; Chen, Sijin; Tang, Jiaxiang; Chen, Xin; Cai, Zhongang; Yang, Lei; Yu, Gang; Lin, Guosheng; Zhang, Chi, 2025, "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers", https://doi.org/10.21979/N9/BJPHCP, DR-NTU (Data), V1 Recently, 3D assets created via reconstruction and generation have matched the quality of manually crafted assets, highlighting their potential for replacement. However, this potential is largely unrealized because these assets always need to be converted to meshes for 3D industr...
SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE Apr 9, 2025 - S-Lab for Advanced Intelligence Chen, Yongwei; Lan, Yushi; Zhou, Shangchen; Wang, Tengfei; Pan, Xingang, 2025, "SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE", https://doi.org/10.21979/N9/OK5SSQ, DR-NTU (Data), V1 Autoregressive models have demonstrated remarkable success across various fields, from large language models (LLMs) to large multimodal models (LMMs) and 2D content generation, moving closer to artificial general intelligence (AGI). Despite these advances, applying autoregressive...
Text4Seg: Reimagining Image Segmentation as Text Generation Apr 9, 2025 - S-Lab for Advanced Intelligence Lan, Mengcheng; Chen, Chaofeng; Zhou, Yue; Ke, Yiping; Wang, Xinjiang; Feng, Litong; Zhang, Wayne, 2025, "Text4Seg: Reimagining Image Segmentation as Text Generation", https://doi.org/10.21979/N9/FF4YJY, DR-NTU (Data), V1 Multimodal Large Language Models (MLLMs) have shown exceptional capabilities in vision-language tasks; however, effectively integrating image segmentation into these models remains a significant challenge. In this paper, we introduce Text4Seg, a novel text-as-mask paradigm that c...
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...

MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers

Apr 9, 2025 - S-Lab for Advanced Intelligence

Chen, Yiwen; He, Tong; Di, Huang; Ye, Weicai; Chen, Sijin; Tang, Jiaxiang; Chen, Xin; Cai, Zhongang; Yang, Lei; Yu, Gang; Lin, Guosheng; Zhang, Chi, 2025, "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers", https://doi.org/10.21979/N9/BJPHCP, DR-NTU (Data), V1

Recently, 3D assets created via reconstruction and generation have matched the quality of manually crafted assets, highlighting their potential for replacement. However, this potential is largely unrealized because these assets always need to be converted to meshes for 3D industr...

SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE

Apr 9, 2025 - S-Lab for Advanced Intelligence

Chen, Yongwei; Lan, Yushi; Zhou, Shangchen; Wang, Tengfei; Pan, Xingang, 2025, "SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE", https://doi.org/10.21979/N9/OK5SSQ, DR-NTU (Data), V1

Autoregressive models have demonstrated remarkable success across various fields, from large language models (LLMs) to large multimodal models (LMMs) and 2D content generation, moving closer to artificial general intelligence (AGI). Despite these advances, applying autoregressive...

Text4Seg: Reimagining Image Segmentation as Text Generation

Apr 9, 2025 - S-Lab for Advanced Intelligence

Lan, Mengcheng; Chen, Chaofeng; Zhou, Yue; Ke, Yiping; Wang, Xinjiang; Feng, Litong; Zhang, Wayne, 2025, "Text4Seg: Reimagining Image Segmentation as Text Generation", https://doi.org/10.21979/N9/FF4YJY, DR-NTU (Data), V1

Multimodal Large Language Models (MLLMs) have shown exceptional capabilities in vision-language tasks; however, effectively integrating image segmentation into these models remains a significant challenge. In this paper, we introduce Text4Seg, a novel text-as-mask paradigm that c...

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...

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