5 papers
Geometry-Editable and Appearance-Preserving Object Compositon
Jianman Lin, Haojie Li, Chunmei Qing +3
General object composition (GOC) aims to seamlessly integrate a target object into a background scene with desired geometric properties, while simultaneously preserving its fine-gr…
Personalized Cross-Modal Emotional Correlation Learning for Speech-Preserving Facial Expression Manipulation
Tianshui Chen, Yujie Zhu, Jianman Lin +4
Speech-preserving facial expression manipulation (SPFEM) aims to enhance human expressiveness without altering mouth movements tied to the original speech. A primary challenge in t…
Learning Spatial-Temporal Coherent Correlations for Speech-Preserving Facial Expression Manipulation
Tianshui Chen, Jianman Lin, Zhijing Yang +3
Speech-preserving facial expression manipulation (SPFEM) aims to modify facial emotions while meticulously maintaining the mouth animation associated with spoken content. Current w…
Neural Scene Designer: Self-Styled Semantic Image Manipulation
Jianman Lin, Tianshui Chen, Chunmei Qing +4
Maintaining stylistic consistency is crucial for the cohesion and aesthetic appeal of images, a fundamental requirement in effective image editing and inpainting. However, existing…
Contrastive Decoupled Representation Learning and Regularization for Speech-Preserving Facial Expression Manipulation
Tianshui Chen, Jianman Lin, Zhijing Yang +3
Speech-preserving facial expression manipulation (SPFEM) aims to modify a talking head to display a specific reference emotion while preserving the mouth animation of source spoken…