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以摘录为主,记录一些有可能会用到的方法或灵感
摘要:Pre title: Joint Implicit Neural Representation for High-fidelity and Compact Vector Fonts accepted: ICCV 2023 paper: https://openaccess.thecvf.com/co 阅读全文
posted @ 2024-01-19 11:22 NoNoe 阅读(163) 评论(2) 推荐(0) 编辑
摘要:Pre title: Self-conditioned Image Generation via Generating Representations accepted: arXiv 2023 paper: https://arxiv.org/abs/2312.03701 code: https:/ 阅读全文
posted @ 2024-01-11 16:30 NoNoe 阅读(340) 评论(0) 推荐(1) 编辑
摘要:Pre title: Learning Component-Level and Inter-Class Glyph Representation for few-shot Font Generation accepted: ICME 2023 paper: https://ieeexplore.ie 阅读全文
posted @ 2023-12-23 00:54 NoNoe 阅读(195) 评论(0) 推荐(0) 编辑
摘要:Pre title: Replacing softmax with ReLU in Vision Transformers accepted: Arxiv 2023 paper: https://export.arxiv.org/abs/2309.08586 code: None 关键词:atten 阅读全文
posted @ 2023-12-12 10:52 NoNoe 阅读(217) 评论(0) 推荐(0) 编辑
摘要:Pre title: Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning accepted: ICCV 2023 paper: https://arxiv.org/abs 阅读全文
posted @ 2023-12-04 15:55 NoNoe 阅读(341) 评论(0) 推荐(0) 编辑
摘要:Pre title: R-Drop: Regularized Dropout for Neural Networks accepted: NeurIPS 2021 paper: https://arxiv.org/abs/2106.14448 code: https://github.com/dro 阅读全文
posted @ 2023-12-01 10:59 NoNoe 阅读(227) 评论(0) 推荐(0) 编辑
摘要:1. Pre title: Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference accepted: arXiv 2023 (ICLR 2024 Submission) paper 阅读全文
posted @ 2023-11-12 10:24 NoNoe 阅读(2565) 评论(0) 推荐(1) 编辑
摘要:Pre title: EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling accepted: arXiv2023 paper: https://arxiv.org/abs/2310.04691 co 阅读全文
posted @ 2023-11-07 18:28 NoNoe 阅读(309) 评论(0) 推荐(0) 编辑
摘要:Pre title: Painterly Image Harmonization using Diffusion Model accepted: AAAI2023 paper: https://arxiv.org/abs/2212.08846 code: https://github.com/bcm 阅读全文
posted @ 2023-11-03 18:07 NoNoe 阅读(329) 评论(0) 推荐(0) 编辑
摘要:Pre title: Disentangling Writer and Character Styles for Handwriting Generation accepted: CVPR2023 paper: https://arxiv.org/abs/2303.14736 code: https 阅读全文
posted @ 2023-10-25 18:35 NoNoe 阅读(821) 评论(0) 推荐(1) 编辑
摘要:Pre title: SimCSE: Simple Contrastive Learning of Sentence Embeddings accepted: EMNLP 2021 paper: https://arxiv.org/abs/2104.08821 code: https://githu 阅读全文
posted @ 2023-10-23 10:45 NoNoe 阅读(223) 评论(0) 推荐(0) 编辑
摘要:Pre title: Handwritten Text Generation from Visual Archetypes accepted: CVPR 2023 paper: https://arxiv.org/abs/2303.15269 code: https://github.com/aim 阅读全文
posted @ 2023-09-28 13:00 NoNoe 阅读(332) 评论(0) 推荐(0) 编辑
摘要:Pre title: SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis accepted: arXiv 2023 paper: https://arxiv.org/abs/2307.01952 co 阅读全文
posted @ 2023-09-16 16:04 NoNoe 阅读(730) 评论(0) 推荐(2) 编辑
摘要:## Pre title: Handwriting Transformers accepted: ICCV 2021 paper: https://arxiv.org/abs/2104.03964 code: https://github.com/ankanbhunia/Handwriting-Tr 阅读全文
posted @ 2023-08-09 10:37 NoNoe 阅读(326) 评论(0) 推荐(2) 编辑
摘要:Pre title: Neural Transformation Fields for Arbitrary-Styled Font Generation accepted: CVPR 2023 paper: https://openaccess.thecvf.com/content/CVPR2023 阅读全文
posted @ 2023-08-07 16:47 NoNoe 阅读(286) 评论(0) 推荐(1) 编辑
摘要:1. Pre title: CF-Font: Content Fusion for Few-shot Font Generation accepted: CVPR2023 paper: https://arxiv.org/abs/2303.14017 | https://openaccess.the 阅读全文
posted @ 2023-07-16 10:01 NoNoe 阅读(1353) 评论(4) 推荐(1) 编辑
摘要:## Pre title: A Closer Look at Self-supervised Lightweight Vision Transformers accepted: ICML 2023 paper: https://arxiv.org/abs/2205.14443 code: https 阅读全文
posted @ 2023-07-15 16:00 NoNoe 阅读(293) 评论(0) 推荐(0) 编辑
摘要:## Pre title: Hard Patches Mining for Masked Image Modeling accepted: CVPR 2023 paper: https://arxiv.org/abs/2304.05919 code: https://github.com/Haoch 阅读全文
posted @ 2023-07-12 10:51 NoNoe 阅读(165) 评论(0) 推荐(0) 编辑
摘要:## Pre title: DropKey accepted: CVPR 2023 paper: https://arxiv.org/abs/2208.02646 code: in paper 关键词: Transformer, dropout, 阅读理由: 方法简单通用,效果又好像很好,(组会) 阅读全文
posted @ 2023-06-01 16:00 NoNoe 阅读(475) 评论(0) 推荐(0) 编辑
摘要:## Pre title: MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis accepted: CVPR2023 paper: https://arxiv.org/abs/221 阅读全文
posted @ 2023-05-28 16:50 NoNoe 阅读(575) 评论(0) 推荐(1) 编辑

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