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91 to 100 of 349 Results
Oct 1, 2024 - Chen Change LOY
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 30, 2024 - RUEDL Christiane
Ruedl, Christiane; Wu, Xiaoting, 2024, "Reducing microglial lipid load enhances β amyloid phagocytosis in an Alzheimer’s disease mouse model", https://doi.org/10.21979/N9/V4FHSQ, DR-NTU (Data), V1
Macrophages accumulate lipid droplets (LD) under stress and inflammatory conditions. Despite the presence of LD-loaded macrophages in many tissues, including the brain, their contribution to neurodegenerative disorders remains elusive. This study investigated the role of lipid me...
Sep 30, 2024 - VHARG
Jenkins, Susanna, 2024, "Scenario impact assessment for volcanoes using the OpenQuake engine", https://doi.org/10.21979/N9/7NTU8M, DR-NTU (Data), V1
Tephra fall probability maps and isomass maps assuming a VEI 6 eruption scenario from Pinatubo volcano, Philippines. Produced using the freely available TephraProb software (Biass et al., 2016). Files are available for a range of tephra load thresholds and probability percentiles...
Sep 30, 2024 - DING Ovi Lian
Ding, Ovi Lian; Liu, Qinglin; Su, Pei-Chen; Chan, Siew Hwa, 2024, "Wet air co-electrolysis in high temperature solid oxide electrolysis cell for sustainable single-step production of ammonia feedstock", https://doi.org/10.21979/N9/YTS2JL, DR-NTU (Data), V1
Final report
Sep 30, 2024 - DING Ovi Lian
Ding, Ovi Lian, 2024, "Novel Self-Supported Robust Catalyst for Blue Hydrogen Production with Methane Cracking", https://doi.org/10.21979/N9/OP8BHR, DR-NTU (Data), V1
Data for catalyst performance in terms of carbon formation
DING Ovi Lian(Nanyang Technological University)
Sep 30, 2024Energy Research Institute @ NTU
Appointment: Principal Research Scientist Research topics: • Development of self-supported robust catalyst for methane cracking
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...
Sep 27, 2024 - S-Lab for Advanced Intelligence
Chen, Yongwei; Wang, Tengfei; Wu, Tong; Pan, Xingang; Jia, Kui; Liu, Ziwei, 2024, "ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance", https://doi.org/10.21979/N9/BAZCX6, DR-NTU (Data), V1
Generating high-quality 3D assets from a given image is highly desirable in various applications such as AR/VR. Recent advances in single-image 3D generation explore feed-forward models that learn to infer the 3D model of an object without optimization. Though promising results h...
Sep 26, 2024 - S-Lab for Advanced Intelligence
Tang, Jiaxiang; Chen, Zhaoxi; Chen, Xiaokang; Wang, Tengfei; Zeng, Gang; Liu, Ziwei, 2024, "LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation", https://doi.org/10.21979/N9/27JLJB, DR-NTU (Data), V1
3D content creation has achieved significant progress in terms of both quality and speed. Although current feed-forward models can produce 3D objects in seconds, their resolution is constrained by the intensive computation required during training. In this paper, we introduce Lar...
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