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Found 5 papers, 1 papers with code
Detail-Preserving Transformer for Light Field Image Super-Resolution
DPT consists of two branches, with each associated with a Transformer for learning from an original or gradient image sequence.
A Decomposition Model for Stereo Matching
In this paper, we present a decomposition model for stereo matching to solve the problem of excessive growth in computational cost (time and memory cost) as the resolution increases.
Content-Aware Inter-Scale Cost Aggregation for Stereo Matching
In this paper, we present a content-aware inter-scale cost aggregation method that adaptively aggregates and upsamples the cost volume from coarse-scale to fine-scale by learning dynamic filter weights according to the content of the left and right views on the two scales.
Contour Flow: Middle-Level Motion Estimation by Combining Motion Segmentation and Contour Alignment
Our goal is to estimate contour flow (the contour pairs with consistent point correspondence) from inconsistent contours extracted independently in two video frames.
Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling
Stochastic sampling based trackers have shown good performance for abrupt motion tracking so that they have gained popularity in recent years.
