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Found 6 papers, 1 papers with code
Low-latency Space-time Supersampling for Real-time Rendering
With the rise of real-time rendering and the evolution of display devices, there is a growing demand for post-processing methods that offer high-resolution content in a high frame rate.
Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation
In this paper, we develop a Context-Aware Iteration Policy Network for efficient optical flow estimation, which determines the optimal number of iterations per sample.
Uncertainty-Guided Spatial Pruning Architecture for Efficient Frame Interpolation
We can use dynamic spatial pruning method to skip redundant computation, but this method cannot properly identify easy regions in VFI tasks without supervision.
Geometry-Aware Reference Synthesis for Multi-View Image Super-Resolution
To address these problems, we propose the MVSRnet, which uses geometry information to extract sharp details from all LR multi-view to support the SR of the LR input view.
Learning Parallax Transformer Network for Stereo Image JPEG Artifacts Removal
Under stereo settings, the performance of image JPEG artifacts removal can be further improved by exploiting the additional information provided by a second view.
Learning Robust Image-Based Rendering on Sparse Scene Geometry via Depth Completion
Specifically, GR stage takes sparse depth map and RGB as input to predict dense depth map by exploiting the correlation between two modals.
