61 to 70 of 223 Results
Oct 5, 2024 - Narendra VISHWAKARMA
Shubha, Sharma; Madhukumar, A. S., 2024, "Related Data for: On the Performance of Hybrid THz/FSO System", https://doi.org/10.21979/N9/EYMYLG, DR-NTU (Data), V1
MATLAB source code the publication title: "On the Performance of Hybrid THz/FSO System" These code will produce the outage probability plots for the above paper |
Oct 5, 2024 - Narendra VISHWAKARMA
Vishwakarma, Narendra; Swaminathan, R.; Diamantoulakis, Panagiotis D.; Karagiannidis, George K., 2024, "Related Data for: Performance Analysis of Optical Reflecting Surface-Assisted Optical Space Shift Keying-Based MIMO-FSO System", https://doi.org/10.21979/N9/O1GICV, DR-NTU (Data), V1
This paper proposes an optical reflecting surface (ORS)-assisted free space optics (FSO) communication system based on the optical space shift keying (OSSK) technique. Closed-form expressions for the probability density function (PDF) and moment generating function (MGF) of the s... |
Oct 4, 2024 - S-Lab for Advanced Intelligence
Yue, Zongsheng; Wang, Jianyi; Loy, Chen Change, 2024, "Efficient Diffusion Model for Image Restoration by Residual Shifting", https://doi.org/10.21979/N9/VYPJ0O, DR-NTU (Data), V1
While diffusion-based image restoration (IR) methods have achieved remarkable success, they are still limited by the low inference speed attributed to the necessity of executing hundreds or even thousands of sampling steps. Existing acceleration sampling techniques, though seekin... |
Oct 3, 2024 - S-Lab for Advanced Intelligence
Guo, Zujin; Li, Wei; Loy, Chen Change, 2024, "Generalizable Implicit Motion Modeling for Video Frame Interpolation", https://doi.org/10.21979/N9/EDKWDC, DR-NTU (Data), V1
Motion modeling is critical in flow-based Video Frame Interpolation (VFI). Existing paradigms either consider linear combinations of bidirectional flows or directly predict bilateral flows for given timestamps without exploring favorable motion priors, thus lacking the capability... |
Oct 2, 2024 - S-Lab for Advanced Intelligence
Hu, Runyi; Zhang, Jie; Xu, Ting; Li, Jiwei; Zhang, Tianwei, 2024, "Robust-Wide: Robust Watermarking against Instruction-driven Image Editing", https://doi.org/10.21979/N9/XVTPW9, DR-NTU (Data), V1
Instruction-driven image editing allows users to quickly edit an image according to text instructions in a forward pass. Nevertheless, malicious users can easily exploit this technique to create fake images, which could cause a crisis of trust and harm the rights of the original... |
Oct 2, 2024 - S-Lab for Advanced Intelligence
Xu, Qianxiong; Liu, Xuanyi; Zhu, Lanyun; Lin, Guosheng; Long, Cheng; Li, Ziyue; Zhao, Rui, 2024, "Hybrid Mamba for Few-Shot Segmentation", https://doi.org/10.21979/N9/PHG7NV, DR-NTU (Data), V1
Many few-shot segmentation (FSS) methods use cross attention to fuse support foreground (FG) into query features, regardless of the quadratic complexity. A recent advance Mamba can also well capture intra-sequence dependencies, yet the complexity is only linear. Hence, we aim to... |
Oct 1, 2024 - S-Lab for Advanced Intelligence
Liu, Tianqi; Wang, Guangcong; Hu, Shoukang; Shen, Liao; Ye, Xinyi; Zang, Yuhang; Cao, Zhiguo; Li, Wei; Liu, Ziwei, 2024, "MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo", https://doi.org/10.21979/N9/9LDWXG, DR-NTU (Data), V1
We present MVSGaussian, a new generalizable 3D Gaussian representation approach derived from Multi-View Stereo (MVS) that can efficiently reconstruct unseen scenes. Specifically, 1) we leverage MVS to encode geometry-aware Gaussian representations and decode them into Gaussian pa... |
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... |
Sep 27, 2024 - S-Lab for Advanced Intelligence
Wu, Tianxing; Si, Chenyang; Jiang, Yuming; Huang, Ziqi; Liu, Ziwei, 2024, "FreeInit: Bridging Initialization Gap in Video Diffusion Models", https://doi.org/10.21979/N9/JMCW1W, DR-NTU (Data), V1
Though diffusion-based video generation has witnessed rapid progress, the inference results of existing models still exhibit unsatisfactory temporal consistency and unnatural dynamics. In this paper, we delve deep into the noise initialization of video diffusion models, and disco... |
Sep 27, 2024 - S-Lab for Advanced Intelligence
Lan, Yushi; Fangzhou Hong; Shuai Yang; Shangchen Zhou; Bo Dai; Xingang Pan; Chen Change Loy, 2024, "LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation", https://doi.org/10.21979/N9/UZ06ZG, DR-NTU (Data), V1
The field of neural rendering has witnessed significant progress with advancements in generative models and differentiable rendering techniques. Though 2D diffusion has achieved success, a unified 3D diffusion pipeline remains unsettled. This paper introduces a novel framework ca... |
