Zobrazeno 1 - 10
of 20 105
pro vyhledávání: '"Vidit"'
Autor:
Zhao, Tianchen, Fang, Tongcheng, Liu, Enshu, Wan, Rui, Soedarmadji, Widyadewi, Li, Shiyao, Lin, Zinan, Dai, Guohao, Yan, Shengen, Yang, Huazhong, Ning, Xuefei, Wang, Yu
Diffusion transformers (DiTs) have exhibited remarkable performance in visual generation tasks, such as generating realistic images or videos based on textual instructions. However, larger model sizes and multi-frame processing for video generation l
Externí odkaz:
http://arxiv.org/abs/2406.02540
Deep image relighting is gaining more interest lately, as it allows photo enhancement through illumination-specific retouching without human effort. Aside from aesthetic enhancement and photo montage, image relighting is valuable for domain adaptatio
Externí odkaz:
http://arxiv.org/abs/2005.05460
Akademický článek
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Autor:
Verhoeven, Joost T.P.1, Canuti, Marta1 marta.canuti@gmail.com, Munro, Hannah J.1, Dufour, Suzanne C.1, Lang, Andrew S.1 aslang@mun.ca
Publikováno v:
Canadian Journal of Microbiology. Oct2018, Vol. 64 Issue 10, p761-773. 13p. 2 Diagrams, 2 Charts, 2 Graphs.
Autor:
Negrea, Ana Maria
Publikováno v:
Bulletin of the Transilvania University of Braşov, Series VIII: Performing Arts. 13(1):135-144
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=883773
Animal Re-ID is crucial for wildlife conservation, yet it faces unique challenges compared to person Re-ID. First, the scarcity and lack of diversity in datasets lead to background-biased models. Second, animal Re-ID depends on subtle, species-specif
Externí odkaz:
http://arxiv.org/abs/2405.13781
Autor:
Cao, Junli, Goel, Vidit, Wang, Chaoyang, Kag, Anil, Hu, Ju, Korolev, Sergei, Jiang, Chenfanfu, Tulyakov, Sergey, Ren, Jian
Recent approaches representing 3D objects and scenes using Gaussian splats show increased rendering speed across a variety of platforms and devices. While rendering such representations is indeed extremely efficient, storing and transmitting them is
Externí odkaz:
http://arxiv.org/abs/2406.19434
Large language model (LLM) services have recently begun offering a plugin ecosystem to interact with third-party API services. This innovation enhances the capabilities of LLMs, but it also introduces risks, as these plugins developed by various thir
Externí odkaz:
http://arxiv.org/abs/2404.16891
Emerging vulnerabilities in machine learning (ML) models due to adversarial attacks raise concerns about their reliability. Specifically, evasion attacks manipulate models by introducing precise perturbations to input data, causing erroneous predicti
Externí odkaz:
http://arxiv.org/abs/2404.15656
Ensemble models can be used to estimate prediction uncertainties in machine learning models. However, an ensemble of N models is approximately N times more computationally demanding compared to a single model when it is used for inference. In this wo
Externí odkaz:
http://arxiv.org/abs/2404.09896