Recent advances in text-to-image (T2I) generation have enabled controllable image synthesis by incorporating conditions beyond text. However, most existing diffusion-based methods are limited to a single type of control condition (e.g., bounding boxes or keypoints), which restricts their flexibility. To address this li...
Pengcheng Wan, Liang Han, Lin Xu et al.· arXiv.org· 0 citations
This work proposes DreOPD, a Degraded-reference extrapolative OPD method for flow-matching models that bridges these two paradigms, and converts implicit reward extrapolation into closed-form velocity regression, enabling extrapolative post-training with the stability of OPD.
Ming-Hung Lin, Cheng-Fei Cai, Lin Xu et al.· 2 citations
A normal-guided depth propagation approach is introduced, which can extend depth information from high-confidence regions to constrain the depth in low-confidence areas and an abnormal depth edge-aware regularization is proposed to address depth discontinuities caused by the discreteness of Gaussians.
This paper proposes a novel yet simple partitioning method to efficiently and faithfully reconstruct large-scale scene surfaces and proposes a strategy to detect and repair missing regions in the initial point cloud caused by sparse viewpoints or insufficient textures, thereby further improving the geometric quality.
