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71 to 80 of 84 Results

Kalman-Inspired Feature Propagation for Video Face Super-Resolution Sep 25, 2024 Feng, Ruicheng; Li, Chongyi; Loy, Chen Change, 2024, "Kalman-Inspired Feature Propagation for Video Face Super-Resolution", https://doi.org/10.21979/N9/FMVNYY, DR-NTU (Data), V1 Despite the promising progress of face image super-resolution, video face super-resolution remains relatively under-explored. Existing approaches either adapt general video super-resolution networks to face datasets or apply established face image super-resolution models independ...
KEEP_ECCV.pdf Sep 25, 2024 - Kalman-Inspired Feature Propagation for Video Face Super-Resolution Adobe PDF - 7.8 MB - MD5: d6b53c6b690e3cf6f3c5e34757ea7c8e
StructLDM: Structured Latent Diffusion for 3D Human Generation Sep 20, 2024 Hu, Tao; Hong, Fangzhou; Liu, Ziwei, 2024, "StructLDM: Structured Latent Diffusion for 3D Human Generation", https://doi.org/10.21979/N9/BXUEXV, DR-NTU (Data), V1 Recent 3D human generative models have achieved remarkable progress by learning 3D-aware GANs from 2D images. However, existing 3D human generative methods model humans in a compact 1D latent space, ignoring the articulated structure and semantics of human body topology. In this...
Paper_ECCV2024.pdf Sep 20, 2024 - StructLDM: Structured Latent Diffusion for 3D Human Generation Adobe PDF - 4.5 MB - MD5: b293401ab6fd2e9cc01588dd1b04879d
EdgeSAM Sep 12, 2024 - Chen Change LOY 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 - Chen Change LOY 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 - Chen Change LOY 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.

Kalman-Inspired Feature Propagation for Video Face Super-Resolution

Sep 25, 2024

Feng, Ruicheng; Li, Chongyi; Loy, Chen Change, 2024, "Kalman-Inspired Feature Propagation for Video Face Super-Resolution", https://doi.org/10.21979/N9/FMVNYY, DR-NTU (Data), V1

Despite the promising progress of face image super-resolution, video face super-resolution remains relatively under-explored. Existing approaches either adapt general video super-resolution networks to face datasets or apply established face image super-resolution models independ...

KEEP_ECCV.pdf

Sep 25, 2024 - Kalman-Inspired Feature Propagation for Video Face Super-Resolution

Adobe PDF - 7.8 MB -

StructLDM: Structured Latent Diffusion for 3D Human Generation

Sep 20, 2024

Hu, Tao; Hong, Fangzhou; Liu, Ziwei, 2024, "StructLDM: Structured Latent Diffusion for 3D Human Generation", https://doi.org/10.21979/N9/BXUEXV, DR-NTU (Data), V1

Recent 3D human generative models have achieved remarkable progress by learning 3D-aware GANs from 2D images. However, existing 3D human generative methods model humans in a compact 1D latent space, ignoring the articulated structure and semantics of human body topology. In this...

Paper_ECCV2024.pdf

Sep 20, 2024 - StructLDM: Structured Latent Diffusion for 3D Human Generation

Adobe PDF - 4.5 MB -

EdgeSAM

Sep 12, 2024 - Chen Change LOY

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 - Chen Change LOY

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 - Chen Change LOY

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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