Search Results for author:
Found 12 papers, 8 papers with code
3D Video Loops from Asynchronous Input
Looping videos are short video clips that can be looped endlessly without visible seams or artifacts.
Water Simulation and Rendering from a Still Photograph
We propose an approach to simulate and render realistic water animation from a single still input photograph.
Deblur-NeRF: Neural Radiance Fields from Blurry Images
We demonstrate that our method can be used on both camera motion blur and defocus blur: the two most common types of blur in real scenes.
Microshift: An Efficient Image Compression Algorithm for Hardware
In our method, the image is first micro-shifted, then the sub-quantized values are further compressed.
Let's See Clearly: Contaminant Artifact Removal for Moving Cameras
This new dataset and our novel framework lead to our method that is able to address different contaminants and outperforms competitive restoration approaches both qualitatively and quantitatively.
Deep Sketch-guided Cartoon Video Inbetweening
The key idea of the proposed approach is to estimate the dense cross-domain correspondence between the sketch and cartoon video frames, and employ a blending module with occlusion estimation to synthesize the middle frame guided by the sketch.
Document Rectification and Illumination Correction using a Patch-based CNN
We propose a novel learning method to rectify document images with various distortion types from a single input image.
Blind Geometric Distortion Correction on Images Through Deep Learning
We propose the first general framework to automatically correct different types of geometric distortion in a single input image.
Deep Exemplar-based Video Colorization
This paper presents the first end-to-end network for exemplar-based video colorization.
Deep Exemplar-based Colorization
More importantly, as opposed to other learning-based colorization methods, our network allows the user to achieve customizable results by simply feeding different references.
Progressive Color Transfer with Dense Semantic Correspondences
The proposed method can be successfully extended from one-to-one to one-to-many color transfer.
Gradient magnitude similarity deviation on multiple scales for color image quality assessment
Then, we propose a multi-scale GMSD method by incorporating scores of luminance distortion at different scales.
Ranked #5 on
Image Quality Assessment
on MSU FR VQA Database
