Jain, HarshilHarshilJainPatil, RohitRohitPatilJethva, UtsavUtsavJethvaKaoshik, RonakRonakKaoshikAgarawal, ShauryaShauryaAgarawalDutta, RitikRitikDuttaBatra, NipunNipunBatra2025-08-312025-08-312020-01-02[9781450388177]10.1145/3430984.34310572-s2.0-85098889838https://d8.irins.org/handle/IITG2025/25691Deep learning-based innovations, particularly GANs, have recently shown great success in fashion modelling for various use cases such as pose and face generation. A famous work, FashionGAN[1], can generate images with modified clothing as per natural language description and uses the DeepFashion dataset, which primarily contains clothing styles of the Western countries. Currently, no dataset caters to Indian style and clothing. Hence, we present a dataset of 12k images and descriptions pertaining to the Indian culture as well as a baseline approach with this work. Deep learning-based innovations in the Indian Fashion context are a relatively new area of research, and we hope our work will be a starting point for other researchers. Code and Dataset: https://github.com/ronakkaoshik42/Generative-fashionfalseConference Paper4152 January 20203cpConference Proceeding5