Search Results for author:
Found 7 papers, 1 papers with code
DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion
Due to the large motion, the intermediate semantic information may be absent in input images.
Dynamic Neural Radiance Field From Defocused Monocular Video
We introduce layered Depth-of-Field (DoF) volume rendering to model the defocus blur and reconstruct a sharp NeRF supervised by defocused views.
3D Multi-frame Fusion for Video Stabilization
In this paper, we present RStab, a novel framework for video stabilization that integrates 3D multi-frame fusion through volume rendering.
DyBluRF: Dynamic Neural Radiance Fields from Blurry Monocular Video
Experimental results on our dataset demonstrate that our method outperforms existing approaches in generating sharp novel views from motion-blurred inputs while maintaining spatial-temporal consistency of the scene.
Make-It-4D: Synthesizing a Consistent Long-Term Dynamic Scene Video from a Single Image
To animate the visual content, the feature point cloud is displaced based on the scene flow derived from motion estimation and the corresponding camera pose.
Lens-to-lens bokeh effect transformation. NTIRE 2023 challenge report
We present the new Bokeh Effect Transformation Dataset (BETD), and review the proposed solutions for this novel task at the NTIRE 2023 Bokeh Effect Transformation Challenge.
3D Cinemagraphy from a Single Image
To animate the scene, we perform motion estimation and lift the 2D motion into the 3D scene flow.
