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cs.CV2023
Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis
Minho Park, Jooyeol Yun, Seunghwan Choi +1
Existing text-to-image generation approaches have set high standards for photorealism and text-image correspondence, largely benefiting from web-scale text-image datasets, which ca…
cs.CV2021
Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images
Hak Gu Kim, Minho Park, Sangmin Lee +2
Depth adjustment aims to enhance the visual experience of stereoscopic 3D (S3D) images, which accompanied with improving visual comfort and depth perception. For a human expert, th…
cs.CV2019
Generative Guiding Block: Synthesizing Realistic Looking Variants Capable of Even Large Change Demands
Minho Park, Hak Gu Kim, Yong Man Ro
Realistic image synthesis is to generate an image that is perceptually indistinguishable from an actual image. Generating realistic looking images with large variations (e.g., larg…