Light-Field

Distg Series on UrbanLF

I have finished reproducing the Distg series (DistgSSR / DistgASR / DistgDisp). The next task was to apply these methods or we can say models to a new dataset: UrbanLF, and evaluate how well they can perform in this dataset. The task can be summarized as: Apply the Distg series (DistgSSR / DistgASR / DistgDisp) to a new light-field dataset (UrbanLF), obtain results, and compare them with the results from a colleague’s method. ...

UrbanLF: A Comprehensive Light Field Dataset for Semantic Segmentation of Urban Scenes

Paper-reading notes: UrbanLF

Disentangling Light Fields for Super-Resolution and Disparity Estimation

Paper-reading notes: Distangling mechanism, DistgSSR, DistgASR, DistgDisp

A survey for light field super-resolution

Paper-reading notes: A survey for light field super-resolution

Exploiting Spatial and Angular Correlations With Deep Efficient Transformers for Light Field Image Super-Resolution

Paper-reading notes: LF-DET

LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution

Paper-reading notes: LMR - A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution

Learning‑based light field imaging

Paper-reading notes: Learning‑based light field imaging