Dataset Groups Activity Stream MUSE: Text-to-Image Generation via Masked Generative Transformers MUSE is a text-to-image generation model that uses masked generative transformers. BibTex: @dataset{Huiwen_Chang_and_Han_Zhang_and_Jarred_Barber_and_AJ_Maschinot_and_José_Lezama_and_Lu_Jiang_and_Ming_Yang_and_Kevin_P_Murphy_and_William_T_Freeman_and_Michael_Rubinstein_and_Yuanzhen_Li_and_Dilip_Krishnan_2024, abstract = {MUSE is a text-to-image generation model that uses masked generative transformers.}, author = {Huiwen Chang and Han Zhang and Jarred Barber and AJ Maschinot and José Lezama and Lu Jiang and Ming Yang and Kevin P. Murphy and William T. Freeman and Michael Rubinstein and Yuanzhen Li and Dilip Krishnan}, doi = {10.57702/2m8sue9v}, institution = {No Organization}, keyword = {'Masked Generative Transformers', 'Text-to-Image Generation'}, month = {dec}, publisher = {TIB}, title = {MUSE: Text-to-Image Generation via Masked Generative Transformers}, url = {https://service.tib.eu/ldmservice/dataset/muse--text-to-image-generation-via-masked-generative-transformers}, year = {2024} }