5 papers
FlowDC: Flow-Based Decoupling-Decay for Complex Image Editing
Yilei Jiang, Zhen Wang, Yanghao Wang +4
With the surge of pre-trained text-to-image flow matching models, text-based image editing performance has gained remarkable improvement, especially for \underline{simple editing}…
CoMo: Compositional Motion Customization for Text-to-Video Generation
Youcan Xu, Zhen Wang, Jiaxin Shi +6
While recent text-to-video models excel at generating diverse scenes, they struggle with precise motion control, particularly for complex, multi-subject motions. Although methods f…
From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy
Feng He, Guodong Tan, Qiankun Li +2
Light field microscopy (LFM) has become an emerging tool in neuroscience for large-scale neural imaging in vivo, notable for its single-exposure volumetric imaging, broad field of…
SSGaussian: Semantic-Aware and Structure-Preserving 3D Style Transfer
Jimin Xu, Bosheng Qin, Tao Jin +4
Recent advancements in neural representations, such as Neural Radiance Fields and 3D Gaussian Splatting, have increased interest in applying style transfer to 3D scenes. While exis…
Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field
Hong Nie, Fuyuan Cao, Lu Chen +3
Reconstruction and rendering-based talking head synthesis methods achieve high-quality results with strong identity preservation but are limited by their dependence on identity-spe…