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unreasoning    音标拼音: [ənr'iznɪŋ]
a. 不用理智的,不知道理的,无理智的

不用理智的,不知道理的,无理智的

unreasoning
adj 1: not based on reason or evidence; "blind hatred"; "blind
faith"; "unreasoning panic" [synonym: {blind}, {unreasoning}]

Unreasoning \Unreasoning\
See {reasoning}.

67 Moby Thesaurus words for "unreasoning":
arbitrary, blank, blankminded, brainless, calm, capricious,
careless, emotionalistic, emotive, empty, empty-headed, fatuous,
foolish, hammy, headless, heedless, histrionic, hysteric, ignorant,
inadvertent, inane, incogitant, inconsiderate, inept, insensate,
irrational, lackbrained, lean-minded, lean-witted, melodramatic,
mindless, nirvanic, nonrational, not bright, oblivious,
of little brain, overemotional, passive, pea-brained, pin-brained,
quietistic, reasonless, relaxed, sensational, sensationalistic,
senseless, slackminded, slackwitted, theatrical, thoughtfree,
thoughtless, tranquil, uncalculating, ungifted, unguarded,
unideaed, unintellectual, unintelligent, unoccupied, unreflecting,
untalented, unthinking, unthoughtful, unwise, vacant, vacuous,
witless


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  • GitHub - lkeab gaussian-grouping: [ECCV2024] Gaussian Grouping for . . .
    The recent Gaussian Splatting achieves high-quality and real-time novel-view synthesis of the 3D scenes However, it is solely concentrated on the appearance and geometry modeling, while lacking in fine-grained object-level scene understanding To address this issue, we propose Gaussian Grouping
  • gaussian-grouping README. md at main - GitHub
    Gaussian Grouping: Segment and Edit Anything in 3D Scenes [Project Page] ECCV 2024 ETH Zurich We propose Gaussian Grouping, which extends Gaussian Splatting to jointly reconstruct and segment anything in open-world 3D scenes via lifting 2D SAM It also efficiently supports versatile 3D scene editing tasks Refer to our paper for more details
  • gaussian-grouping docs train. md at main - GitHub
    Gaussian Grouping: Segment and Edit Anything in 3D Scenes 1 Prepare associated SAM masks 1 1 Pre-converted datasets We provide converted datasets in our paper, You can use directly train on datasets from hugging face link
  • gaussian-grouping docs dataset. md at main - GitHub
    Gaussian Grouping: Segment and Edit Anything in 3D Scenes We provide dataset format and custom dataset preparation in the training doc Here we introduce the LERF-Mask dataset proposed in our paper and its evaluation
  • gsplat-grouping Grouping. md at main · Sean220557 gsplat-grouping - GitHub
    CUDA accelerated rasterization of gaussian splatting - Sean220557 gsplat-grouping
  • lkeab (Lei Ke) · GitHub
    [ECCV'2024] Gaussian Grouping for open-world Anything reconstruction, segmentation and editing Jupyter Notebook 968 61 siyuanliii masa Public Official Implementation of CVPR24 highlight paper: Matching Anything by Segmenting Anything Python 1 4k 92 BCNet Public
  • GitHub - peterjohnsonhuang 3dgic · GitHub
    Running We will provide almost everything for the bear dataset here so you can take a look how to put files If you want to prepare the data and train the 3dgs model from scratch, the original data format should be like the preperation results from Gaussian Grouping After obtain the original data, please run :
  • gaussian-grouping README. md at main - GitHub
    Gaussian Grouping: Segment and Edit Anything in 3D Scenes [Project Page] ECCV 2024 ETH Zurich We propose Gaussian Grouping, which extends Gaussian Splatting to jointly reconstruct and segment anything in open-world 3D scenes via lifting 2D SAM It also efficiently supports versatile 3D scene editing tasks Refer to our paper for more details
  • 3D-Gaussian-Splatting-Papers abs 2312. 00732. md at main - GitHub
    Gaussian Grouping: Segment and Edit Anything in 3D Scenes The recent Gaussian Splatting achieves high-quality and real-time novel-view synthesis of the 3D scenes However, it is solely concentrated on the appearance and geometry modeling, while lacking in fine-grained object-level scene understanding
  • A Survey on 3D Gaussian Splatting Applications . . . - GitHub
    🔍 A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Shuting He · Peilin Ji · Yitong Yang · Changshuo Wang · Jiayi Ji · Yinglin Wang · Henghui Ding 💡 Welcome to the official repository of our survey paper 📌 Please feel free to for any possibly missed wonderful work





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