Real-World Light Field Image Spatial Super-Resolution Based on Multi-View High-Dimensional Geometric Consistency Constraints
In recent years, deep learning-based light field (LF) super-resolution (SR) methods have significantly improved LF image quality. However, most existing LFSR rely on fixed bicubic downsampling to construct SR models, which limits their performance on real-world LF with diverse degradations. To address this issue, we pr...