Dataset Groups Activity Stream ShiftDDPMs: Exploring Conditional Diffusion Models Diffusion models have recently exhibited remarkable abilities to synthesize striking image samples since the introduction of denoising diffusion probabilistic models (DDPMs). BibTex: @dataset{Zijian_Zhang_and_Zhou_Zhao_and_Jun_Yu_and_Qi_Tian_2024, abstract = {Diffusion models have recently exhibited remarkable abilities to synthesize striking image samples since the introduction of denoising diffusion probabilistic models (DDPMs).}, author = {Zijian Zhang and Zhou Zhao and Jun Yu and Qi Tian}, doi = {10.57702/loay3wml}, institution = {No Organization}, keyword = {'conditional diffusion models', 'diffusion models', 'image synthesis'}, month = {dec}, publisher = {TIB}, title = {ShiftDDPMs: Exploring Conditional Diffusion Models}, url = {https://service.tib.eu/ldmservice/dataset/shiftddpms--exploring-conditional-diffusion-models}, year = {2024} }
