2 papers
cs.CV2025
ResDiT: Evoking the Intrinsic Resolution Scalability in Diffusion Transformers
Yiyang Ma, Feng Zhou, Xuedan Yin +3
Leveraging pre-trained Diffusion Transformers (DiTs) for high-resolution (HR) image synthesis often leads to spatial layout collapse and degraded texture fidelity. Prior work mitig…
cs.CV2025
Initialize to Generalize: A Stronger Initialization Pipeline for Sparse-View 3DGS
Feng Zhou, Wenkai Guo, Pu Cao +2
Sparse-view 3D Gaussian Splatting (3DGS) often overfits to the training views, leading to artifacts like blurring in novel view rendering. Prior work addresses it either by enhanci…