Výsledky vyhledávání - Computing methodologies Computer graphics Graphics system and interfaces

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  1. 1

    RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering Autor Li, Chaojian, Li, Sixu, Zhao, Yang, Zhu, Wenbo, Lin, Yingyan

    ISSN: 1558-2434
    Vydáno: ACM 29.10.2022
    “…Neural Radiance Field (NeRF) based rendering has attracted growing attention thanks to its state-of-the-art (SOTA) rendering quality and wide applications in…”
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  2. 2

    DeepTaste: Augmented Reality Gustatory Manipulation with GAN-Based Real-Time Food-to-Food Translation Autor Nakano, Kizashi, Horita, Daichi, Sakata, Nobuchika, Kiyokawa, Kiyoshi, Yanai, Keiji, Narumi, Takuji

    Vydáno: IEEE 01.10.2019
    “…We have been studying augmented reality (AR)-based gustatory manipulation interfaces and previously proposed a gustatory manipulation interface using generative adversarial network (GAN…”
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  3. 3

    GauRast: Enhancing GPU Triangle Rasterizers to Accelerate 3D Gaussian Splatting Autor Li, Sixu, Keller, Ben, Lin, Yingyan Celine, Khailany, Brucek

    Vydáno: IEEE 22.06.2025
    “… This work proposes an acceleration strategy that leverages the similarities between the 3DGS pipeline and the highly optimized conventional graphics pipeline in modern GPUs…”
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  4. 4

    Empirical Evaluation of Calibration and Long-term Carryover Effects of Reverberation on Egocentric Auditory Depth Perception in VR Autor Lin, Wan-Yi, Wang, Ying-Chu, Wu, Dai-Rong, Venkatakrishnan, Rohith, Venkatakrishnan, Roshan, Ebrahimi, Elham, Pagano, Christopher, Babu, Sabarish V., Lin, Wen-Chieh

    ISSN: 2642-5254
    Vydáno: IEEE 01.03.2022
    “…Distance compression, which refers to the underestimation of ego-centric distance to objects, is a common problem in immersive virtual environments. Besides…”
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  5. 5

    OO-VR: NUMA Friendly Object-Oriented VR Rendering Framework For Future NUMA-Based Multi-GPU Systems Autor Xie, Chenhao, Xin, Fu, Chen, Mingsong, Song, Shuaiwen Leon

    ISSN: 2575-713X
    Vydáno: ACM 01.06.2019
    “…With the strong computation capability, NUMA-based multi-GPU system is a promising candidate to provide sustainable and scalable performance for Virtual Reality (VR…”
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  6. 6

    Vulkan-Sim: A GPU Architecture Simulator for Ray Tracing Autor Saed, Mohammadreza, Chou, Yuan Hsi, Liu, Lufei, Nowicki, Tyler, Aamodt, Tor M.

    Vydáno: IEEE 01.10.2022
    “… have started to make use of ray tracing APIs to bring more realistic graphics to their players…”
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  7. 7

    Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR Autor Feng Zhou, Duh, Henry Been-Lirn, Billinghurst, Mark

    ISBN: 9781424428403, 1424428408
    Vydáno: Washington, DC, USA IEEE Computer Society 15.09.2008
    “…Although Augmented Reality technology was first developed over forty years ago, there has been little survey work giving an overview of recent research in the…”
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  8. 8

    Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs Autor Wang, Pengyu, Li, Chao, Wang, Jing, Wang, Taolei, Zhang, Lu, Leng, Jingwen, Chen, Quan, Guo, Minyi

    Vydáno: IEEE 01.09.2021
    “…Graph sampling and random walk operations, capturing the structural properties of graphs, are playing an important role today as we cannot directly adopt computing-intensive algorithms on large-scale graphs…”
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  9. 9

    Local-GS: An Order-Independent Gaussian Splatting Training Accelerator Exploiting Splat Locality Autor Sun, Yiyang, Zhi, Qinzhe, Jing, Yiqi, Ye, Le, Huang, Ru, Jia, Tianyu

    Vydáno: IEEE 22.06.2025
    “…3D Gaussian Splatting has emerged as the SOTA approach for 3D representation and view synthesis. While Gaussian Splatting has demonstrated impressive…”
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  10. 10

    SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal Sparsity Autor Fan, Zichen, Dai, Steve, Venkatesan, Rangharajan, Sylvester, Dennis, Khailany, Brucek

    Vydáno: IEEE 22.06.2025
    “…Diffusion models have gained significant popularity in image generation tasks. However, generating high-quality content remains notably slow because it…”
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  11. 11

    SynGPU: Synergizing CUDA and Bit-Serial Tensor Cores for Vision Transformer Acceleration on GPU Autor Yao, Yuanzheng, Zhang, Chen, Qi, Chunyu, Chen, Ruiyang, Wang, Jun, Fu, Zhihui, Jing, Naifeng, Liang, Xiaoyao, Song, Zhuoran

    Vydáno: IEEE 22.06.2025
    “…Vision Transformers (ViTs) have demonstrated remarkable performance in computer vision tasks by effectively extracting global features…”
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  12. 12

    Cambricon-D: Full-Network Differential Acceleration for Diffusion Models Autor Kong, Weihao, Hao, Yifan, Guo, Qi, Zhao, Yongwei, Song, Xinkai, Li, Xiaqing, Zou, Mo, Du, Zidong, Zhang, Rui, Liu, Chang, Wen, Yuanbo, Jin, Pengwei, Hu, Xing, Li, Wei, Xu, Zhiwei, Chen, Tianshi

    Vydáno: IEEE 29.06.2024
    “… computational redundancy and substantial hardware expenditures.Performing differential computing on input data seems to be a feasible approach for addressing such computational redundancy and improving hardware efficacy…”
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  13. 13

    Mars: A MapReduce Framework on graphics processors Autor He, Bingsheng, Fang, Wenbin, Luo, Qiong, Govindaraju, Naga K., Wang, Tuyong

    Vydáno: ACM 01.10.2008
    “… and their programming interfaces are typically for graphics applications. As the first attempt to harness GPU's power for MapReduce, we developed Mars on an NVIDIA G80 GPU…”
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  14. 14

    GSAcc: Accelerate 3D Gaussian Splatting via Depth Speculation and Gaussian-centric Rasterization Autor Yang, Mengtian, Wang, Yipeng, Lo, Chieh-Pu, Zhang, Xiuhao, Oruganti, Sirish, Kulkarni, Jaydeep P.

    Vydáno: IEEE 22.06.2025
    “…D Gaussian Splatting (3DGS) has emerged as a promising real-time photorealistic radiance field rendering technique. Existing GPU and hardware accelerators face…”
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  15. 15

    StocHD: Stochastic Hyperdimensional System for Efficient and Robust Learning from Raw Data Autor Poduval, Prathyush, Zou, Zhuowen, Najafi, Hassan, Homayoun, Houman, Imani, Mohsen

    Vydáno: IEEE 05.12.2021
    “…Hyperdimensional Computing (HDC) is a neurally-inspired computation model working based on the observation that the human brain operates on high-dimensional representations of data, called hypervector…”
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  16. 16

    MHDiff: Memory- and Hardware-Efficient Diffusion Acceleration via Focal Pixel Aware Quantization Autor Qi, Chunyu, Wang, Xuhang, Chen, Ruiyang, Yao, Yuanzheng, Jing, Naifeng, Zhang, Chen, Wang, Jun, Fu, Zhihui, Liang, Xiaoyao, Song, Zhuoran

    Vydáno: IEEE 22.06.2025
    “…Diffusion models have demonstrated superior performance in image generation tasks, thus becoming the mainstream model for generative visual tasks. Diffusion…”
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  17. 17

    BEVSA: A Real-Time Bird's-Eye-View Semantic Segmentation Accelerator for Multi-Camera System Autor Lee, Sangho, Jung, Jueung, Jang, Wuyoung, Hwang, Jihyeon, Lee, Kyuho

    Vydáno: IEEE 22.06.2025
    “…A bird's-eye-view (BEV) semantic segmentation accelerator (BEVSA) is proposed for real-time 3D space perception in multi-camera system (MCS…”
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  18. 18

    GS-TG: 3D Gaussian Splatting Accelerator with Tile Grouping for Reducing Redundant Sorting while Preserving Rasterization Efficiency Autor Jo, Joongho, Park, Jongsun

    Vydáno: IEEE 22.06.2025
    “…3D Gaussian Splatting (3D-GS) has emerged as a promising alternative to neural radiance fields (NeRF) as it offers high speed as well as high image quality in…”
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  19. 19

    DARIS: An Oversubscribed Spatio-Temporal Scheduler for Real-Time DNN Inference on GPUs Autor Babaei, Amir Fakhim, Chantem, Thidapat

    Vydáno: IEEE 22.06.2025
    “… In particular, DARIS improves GPU utilization and uniquely analyzes GPU concurrency by oversubscribing computing resources…”
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    PARO: Hardware-Software Co-design with Pattern-aware Reorder-based Attention Quantization in Video Generation Models Autor Yang, Xinhao, Zhao, Tianchen, Wang, Hongyi, Ma, Wenheng, Zeng, Shulin, Zhu, Zhenhua, Ning, Xuefei, Yang, Huazhong, Wang, Yu

    Vydáno: IEEE 22.06.2025
    “…Transformer-based video generation models have demonstrated significant potential in content creation. However, the current state-of-the-art model employing "…”
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