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Found 7 papers, 1 papers with code
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion
However, contrary to prior work on cascaded diffusion models which perform diffusion on increasingly large resolutions, we use a single model that always performs diffusion at the same resolution and upsamples by processing patches of the inputs and the prior solution.
Ranked #1 on
Video Frame Interpolation
on X4K1000FPS
ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion Models
We propose ExtraNeRF, a novel method for extrapolating the range of views handled by a Neural Radiance Field (NeRF).
Video Interpolation with Diffusion Models
We present VIDIM, a generative model for video interpolation, which creates short videos given a start and end frame.
Generative Powers of Ten
We present a method that uses a text-to-image model to generate consistent content across multiple image scales, enabling extreme semantic zooms into a scene, e. g., ranging from a wide-angle landscape view of a forest to a macro shot of an insect sitting on one of the tree branches.
3D Moments from Near-Duplicate Photos
As output, we produce a video that smoothly interpolates the scene motion from the first photo to the second, while also producing camera motion with parallax that gives a heightened sense of 3D.
FILM: Frame Interpolation for Large Motion
Recent methods use multiple networks to estimate optical flow or depth and a separate network dedicated to frame synthesis.
Ranked #2 on
Video Frame Interpolation
on Middlebury
(SSIM metric)
No Shadow Left Behind: Removing Objects and their Shadows using Approximate Lighting and Geometry
Removing objects from images is a challenging problem that is important for many applications, including mixed reality.
