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21 to 30 of 313 Results
Enhanced Generative Structure Prior for Chinese Text Image Super-Resolution
Sep 4, 2025 - S-Lab for Advanced Intelligence
Li, Xiaoming; Zuo, Wangmeng; Loy, Chen Change, 2025, "Enhanced Generative Structure Prior for Chinese Text Image Super-Resolution", https://doi.org/10.21979/N9/DTZDDZ, DR-NTU (Data), V1
Faithful text image super-resolution (SR) is challenging because each character has a unique structure and usually exhibits diverse font styles and layouts. While existing methods primarily focus on English text, less attention has been paid to more complex scripts like Chinese....
Replication Data for: Learning Cache Coherence Traffic for NoC Routing Design
Jul 30, 2025 - Guochu XIONG
Xiong, Guochu, 2025, "Replication Data for: Learning Cache Coherence Traffic for NoC Routing Design", https://doi.org/10.21979/N9/J1RNW8, DR-NTU (Data), V1
The dataset includes the source codes and README file for implementing the design presented in the paper 'Learning Cache Coherence Traffic for NoC Routing Design'.
Guochu XIONG(Nanyang Technological University)
Jul 30, 2025
Research topics: • Network-on-Chip • Cache coherence • Machine Learning
Replication Data for: Dual Downsample Vision Transformer for Handwritten Text Recognition (ICDAR2025)
Jun 26, 2025 - Yew Lee TAN
Tan, Yew Lee, 2025, "Replication Data for: Dual Downsample Vision Transformer for Handwritten Text Recognition (ICDAR2025)", https://doi.org/10.21979/N9/DREQKD, DR-NTU (Data), V1
Replication Data for: Dual Downsample Vision Transformer for Handwritten Text Recognition (ICDAR2025) to uncompress: cat lines_recognition_part_* | tar --zstd -xvf -
BAE project data
BAE project data
Jun 26, 2025 - Yew Lee TAN
Tan, Yew Lee, 2025, "BAE project data", https://doi.org/10.21979/N9/AAEFUZ, DR-NTU (Data), V1
BAE project data
Yew Lee TAN(Nanyang Technological University)
Jun 26, 2025
F-LMM: Grounding Frozen Large Multimodal Models
Jun 12, 2025 - S-Lab for Advanced Intelligence
Wu, Size; Jin, Sheng; Zhang, Wenwei; Xu, Lumin; Liu, Wentao; Li, Wei; Loy, Chen Change, 2025, "F-LMM: Grounding Frozen Large Multimodal Models", https://doi.org/10.21979/N9/M0U5AV, DR-NTU (Data), V1
Endowing Large Multimodal Models (LMMs) with visual grounding capability can significantly enhance AIs’ understanding of the visual world and their interaction with humans. However, existing methods typically fine-tune the parameters of LMMs to learn additional segmentation token...
MOWA: Multiple-in-One Image Warping Model
Jun 5, 2025 - S-Lab for Advanced Intelligence
Liao, Kang; Yue, Zongsheng; Wu, Zhonghua; Loy, Chen Change, 2025, "MOWA: Multiple-in-One Image Warping Model", https://doi.org/10.21979/N9/ZPPMT8, DR-NTU (Data), V1
While recent image warping approaches achieved remarkable success on existing benchmarks, they still require training separate models for each specific task and cannot generalize well to different camera models or customized manipulations. To address diverse types of warping in p...
Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent Space
Jun 3, 2025 - S-Lab for Advanced Intelligence
Zhou, Yifan; Xiao, Zeqi; Yang, Shuai; Pan, Xingang, 2025, "Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent Space", https://doi.org/10.21979/N9/Y6AOQH, DR-NTU (Data), V1
Latent Diffusion Models (LDMs) are known to have an unstable generation process, where even small perturbations or shifts in the input noise can lead to significantly different outputs. This hinders their applicability in applications requiring consistent results. In this work, w...
DoF-Gaussian: Controllable Depth-of-Field for 3D Gaussian Splatting
Jun 3, 2025 - S-Lab for Advanced Intelligence
Shen, Liao; Liu, Tianqi; Sun, Huiqiang; Li, Jiaqi; Cao, Zhiguo; Li, Wei; Loy, Chen Change, 2025, "DoF-Gaussian: Controllable Depth-of-Field for 3D Gaussian Splatting", https://doi.org/10.21979/N9/JKJHNJ, DR-NTU (Data), V1
Recent advances in 3D Gaussian Splatting (3D-GS) have shown remarkable success in representing 3D scenes and generating high-quality, novel views in real-time. However, 3D-GS and its variants assume that input images are captured based on pinhole imaging and are fully in focus. T...
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