Chen Change LOY

Appointment: Professor

Research topics:

• Dr Loy's research interests include computer vision and deep learning with a focus on image/video restoration and enhancement, creative content generation, and representation learning.

For more information, visit this webpage.

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1 to 8 of 8 Results

VToonify Oct 1, 2024 Loy, Chen Change; Yang, Shuai, 2024, "VToonify", https://doi.org/10.21979/N9/7PGAOA, DR-NTU (Data), V4 Generating high-quality artistic portrait videos is an important and desirable task in computer graphics and vision. Although a series of successful portrait image toonification models built upon the powerful StyleGAN have been proposed, these image-oriented methods have obvious...
VToonify_cameral_ready.pdf Oct 1, 2024 - VToonify Adobe PDF - 4.6 MB - MD5: 8ac626f4963bc362583fd550a84c0a45
EdgeSAM Sep 12, 2024 Loy, Chen Change, 2024, "EdgeSAM", https://doi.org/10.21979/N9/KF8798, DR-NTU (Data), V2 We present EdgeSAM, an accelerated variant of the Segment Anything Model (SAM), optimized for efficient execution on edge devices with minimal compromise in performance. Our approach involves distilling the original ViT-based SAM image encoder into a purely CNN-based architecture...
EdgeSAM- Prompt-In-the-Loop Distillation for On-Device Deployment of SAM.pdf Sep 12, 2024 - EdgeSAM Adobe PDF - 13.8 MB - MD5: 7748389350012c2cb40d944739fb47bf
CodeFormer Sep 12, 2024 Loy, Chen Change, 2024, "CodeFormer", https://doi.org/10.21979/N9/X3IBKH, DR-NTU (Data), V4 Blind face restoration is a highly ill-posed problem that often requires auxiliary guidance to 1) improve the mapping from degraded inputs to desired outputs, or 2) complement high-quality details lost in the inputs. In this paper, we demonstrate that the learned discrete codeboo...
Towards Robust Blind Face Restoration with Codebook Lookup TransFormer.pdf Sep 12, 2024 - CodeFormer Adobe PDF - 8.3 MB - MD5: da2e3808e6a26e7632fdfe354afd7662 NeurIPS 2022
Wider-Test.zip Sep 11, 2024 - CodeFormer ZIP Archive - 163.8 MB - MD5: e6b06e2a73ed6eb29191a2c5f824b41a
MMDetection3D Sep 9, 2024 Loy, Chen Change, 2024, "MMDetection3D", https://doi.org/10.21979/N9/15XUKI, DR-NTU (Data), V1 MMDetection3D is an open source object detection toolbox based on PyTorch, towards the next-generation platform for general 3D detection. It is a part of the OpenMMLab project.

VToonify

Oct 1, 2024

Loy, Chen Change; Yang, Shuai, 2024, "VToonify", https://doi.org/10.21979/N9/7PGAOA, DR-NTU (Data), V4

Generating high-quality artistic portrait videos is an important and desirable task in computer graphics and vision. Although a series of successful portrait image toonification models built upon the powerful StyleGAN have been proposed, these image-oriented methods have obvious...

VToonify_cameral_ready.pdf

Oct 1, 2024 - VToonify

Adobe PDF - 4.6 MB -

EdgeSAM

Sep 12, 2024

Loy, Chen Change, 2024, "EdgeSAM", https://doi.org/10.21979/N9/KF8798, DR-NTU (Data), V2

We present EdgeSAM, an accelerated variant of the Segment Anything Model (SAM), optimized for efficient execution on edge devices with minimal compromise in performance. Our approach involves distilling the original ViT-based SAM image encoder into a purely CNN-based architecture...

EdgeSAM- Prompt-In-the-Loop Distillation for On-Device Deployment of SAM.pdf

Sep 12, 2024 - EdgeSAM

Adobe PDF - 13.8 MB -

CodeFormer

Sep 12, 2024

Loy, Chen Change, 2024, "CodeFormer", https://doi.org/10.21979/N9/X3IBKH, DR-NTU (Data), V4

Blind face restoration is a highly ill-posed problem that often requires auxiliary guidance to 1) improve the mapping from degraded inputs to desired outputs, or 2) complement high-quality details lost in the inputs. In this paper, we demonstrate that the learned discrete codeboo...

Towards Robust Blind Face Restoration with Codebook Lookup TransFormer.pdf

Sep 12, 2024 - CodeFormer

Adobe PDF - 8.3 MB -

NeurIPS 2022

Wider-Test.zip

Sep 11, 2024 - CodeFormer

ZIP Archive - 163.8 MB -

MMDetection3D

Sep 9, 2024

Loy, Chen Change, 2024, "MMDetection3D", https://doi.org/10.21979/N9/15XUKI, DR-NTU (Data), V1

MMDetection3D is an open source object detection toolbox based on PyTorch, towards the next-generation platform for general 3D detection. It is a part of the OpenMMLab project.

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