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cs.CV2025
CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching
Chen Chen, Pengsheng Guo, Liangchen Song +7
Conditional generative modeling aims to learn a conditional data distribution from samples containing data-condition pairs. For this, diffusion and flow-based methods have attained…
cs.CV2025
Bridging Diffusion Models and 3D Representations: A 3D Consistent Super-Resolution Framework
Yi-Ting Chen, Ting-Hsuan Liao, Pengsheng Guo +2
We propose 3D Super Resolution (3DSR), a novel 3D Gaussian-splatting-based super-resolution framework that leverages off-the-shelf diffusion-based 2D super-resolution models. 3DSR…
cs.LG2025
Variational Rectified Flow Matching
Pengsheng Guo, Alexander G. Schwing
We study Variational Rectified Flow Matching, a framework that enhances classic rectified flow matching by modeling multi-modal velocity vector-fields. At inference time, classic r…