Chen L.-YShen I.-CBING-YU CHEN2022-04-262022-04-262021https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123751504&doi=10.1145%2f3478512.3488603&partnerID=40&md5=0864019958b62c7af158186b586cfa57https://scholars.lib.ntu.edu.tw/handle/123456789/608035In this paper, we present a guided image weathering method that allows the user to generate the weathering process. The core of our method is a three-step method to generate textures at different time steps of the weathering process. The input texture is analyzed first to obtain the weathering degree (age map) for each pixel, then we train a conditional adversarial network to generate texture patches with diverse weathering effects. Once the training is finished, new weathering results can be generated by manipulating the age map, such as automatic interpolation and manually modified by the user. ? 2021 ACM.image to image translationimage weatheringTexturesAdversarial networksDifferent time stepsGuided imagesImage to image translationImage translationImage weatheringThree steps methodWeathering degreeWeathering effectsWeathering processWeatheringconference paper10.1145/3478512.34886032-s2.0-85123751504