17 citations · 29 across the 4 of their papers we have counts for
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cs.CV2023
Mitigating stereotypical biases in text to image generative systems
Piero Esposito, Parmida Atighehchian, Anastasis Germanidis +1
State-of-the-art generative text-to-image models are known to exhibit social biases and over-represent certain groups like people of perceived lighter skin tones and men in their o…
cs.CV2023★ 17 cited
Structure and Content-Guided Video Synthesis with Diffusion Models
Patrick Esser, Johnathan Chiu, Parmida Atighehchian +2
Text-guided generative diffusion models unlock powerful image creation and editing tools. While these have been extended to video generation, current approaches that edit the conte…