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Improving Diffusion-Based Image Editing Faithfulness via Guidance and Scheduling
Hansam Cho, Seoung Bum Kim
Text-guided diffusion models have become essential for high-quality image synthesis, enabling dynamic image editing. In image editing, two crucial aspects are editability, which de…
One-Shot Structure-Aware Stylized Image Synthesis
Hansam Cho, Jonghyun Lee, Seunggyu Chang +1
While GAN-based models have been successful in image stylization tasks, they often struggle with structure preservation while stylizing a wide range of input images. Recently, diff…
Noise Map Guidance: Inversion with Spatial Context for Real Image Editing
Hansam Cho, Jonghyun Lee, Seoung Bum Kim +2
Text-guided diffusion models have become a popular tool in image synthesis, known for producing high-quality and diverse images. However, their application to editing real images o…
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Jonghyun Lee, Hansam Cho, Youngjoon Yoo +2
Addressing the limitations of text as a source of accurate layout representation in text-conditional diffusion models, many works incorporate additional signals to condition certai…