WebApr 10, 2024 · Low-level任务:常见的包括 Super-Resolution,denoise, deblur, dehze, low-light enhancement, deartifacts等。. 简单来说,是把特定降质下的图片还原成好看 … WebApr 13, 2024 · Few-shot Image Generation via Cross-domain Correspondence Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang Training generative models, such as GANs, on a target domain containing limited examples (e.g., 10) can easily result in overfitting.
Issues · utkarshojha/few-shot-gan-adaptation · GitHub
WebApr 10, 2024 · 这是一篇2024年的论文,论文题目是Semantic Prompt for Few-Shot Image Recognitio,即用于小样本图像识别的语义提示。本文提出了一种新的语义提示(SP)的方法,利用丰富的语义信息作为 提示 来 自适应 地调整视觉特征提取器。而不是将文本信息与视觉分类器结合来改善分类器。 WebSummary of github or other types of projects that are related to anime or manga except above. Dataset Layered Temporal Dataset for Anime Drawings TRIGGER dataset Representation Learning Classification and vectorization of key-frames and face characters of anime Image Generation makegirlsmoe ANIME305/Anime-GAN-tensorflow … other names for lawyer
IC-GAN: Instance-Conditioned GAN - GitHub
WebApr 12, 2024 · GAN (10) Image Translation (9) Text-to-Speech (8) Reinforcement Learning (6) Text-to-Image (4) ... Few-Shot (1) Head Swapping (1) Image Reconstruction (1) … WebKD-GAN: Data Limited Image Generation via Knowledge Distillation ... Hierarchical Dense Correlation Distillation for Few-Shot Segmentation Bohao PENG · Zhuotao Tian · … WebOur key idea is to leverage a trained GAN to extract pixel-wise representation from the input image and use it as feature vectors for a segmentation network. Our experiments demonstrate that GANs representation is "readily discriminative" and produces surprisingly good results that are comparable to those from supervised baselines trained with ... rock hall inductees 2023