Dataset Groups Activity Stream MTVG: Multi-text Video Generation with Text-to-Video Models The authors used the pre-trained diffusion-based text-to-video (T2V) generation model without additional fine-tuning. BibTex: @dataset{Gyeongrok_Oh_and_Jaehwan_Jeong_and_Sieun_Kim_and_Wonmin_Byeon_and_Jinkyu_Kim_and_Sungwoong_Kim_and_Hyeokmin_Kwon_and_Sangpil_Kim_2024, abstract = {The authors used the pre-trained diffusion-based text-to-video (T2V) generation model without additional fine-tuning.}, author = {Gyeongrok Oh and Jaehwan Jeong and Sieun Kim and Wonmin Byeon and Jinkyu Kim and Sungwoong Kim and Hyeokmin Kwon and Sangpil Kim}, doi = {10.57702/s593ylls}, institution = {No Organization}, keyword = {'multi-text', 'text-to-video', 'video generation'}, month = {dec}, publisher = {TIB}, title = {MTVG: Multi-text Video Generation with Text-to-Video Models}, url = {https://service.tib.eu/ldmservice/dataset/mtvg--multi-text-video-generation-with-text-to-video-models}, year = {2024} }
