Search Results for author:
Found 13 papers, 5 papers with code
Geometry Transfer for Stylizing Radiance Fields
Shape and geometric patterns are essential in defining stylistic identity.
Sampling Based Scene-Space Video Processing
We present a novel, sampling-based framework for processing video that enables high-quality scene-space video effects in the presence of inevitable errors in depth and camera pose estimation.
A Fully Progressive Approach to Single-Image Super-Resolution
Recent deep learning approaches to single image super-resolution have achieved impressive results in terms of traditional error measures and perceptual quality.
Ranked #14 on
Image Super-Resolution
on BSD100 - 4x upscaling
PhaseNet for Video Frame Interpolation
We show that this is superior to the hand-crafted heuristics previously used in phase-based methods and also compares favorably to recent deep learning based approaches for video frame interpolation on challenging datasets.
Efficient Large-scale Approximate Nearest Neighbor Search on the GPU
We present a new approach for efficient approximate nearest neighbor (ANN) search in high dimensional spaces, extending the idea of Product Quantization.
Learning Video Object Segmentation from Static Images
Inspired by recent advances of deep learning in instance segmentation and object tracking, we introduce video object segmentation problem as a concept of guided instance segmentation.
Ranked #6 on
Semi-Supervised Video Object Segmentation
on YouTube
Bilateral Space Video Segmentation
In this work, we propose a novel approach to video segmentation that operates in bilateral space.
Ranked #76 on
Semi-Supervised Video Object Segmentation
on DAVIS 2016
A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation
The dataset, named DAVIS (Densely Annotated VIdeo Segmentation), consists of fifty high quality, Full HD video sequences, spanning multiple occurrences of common video object segmentation challenges such as occlusions, motion-blur and appearance changes.
FaceDirector: Continuous Control of Facial Performance in Video
We present a method to continuously blend between multiple facial performances of an actor, which can contain different facial expressions or emotional states.
Fully Connected Object Proposals for Video Segmentation
We present a novel approach to video segmentation using multiple object proposals.
Ranked #77 on
Semi-Supervised Video Object Segmentation
on DAVIS 2016
Phase-Based Frame Interpolation for Video
Standard approaches to computing interpolated (in-between) frames in a video sequence require accurate pixel correspondences between images e. g. using optical flow.
Scalable Structure From Motion for Densely Sampled Videos
Videos consisting of thousands of high resolution frames are challenging for existing structure from motion (SfM) and simultaneous-localization and mapping (SLAM) techniques.
Megastereo: Constructing High-Resolution Stereo Panoramas
As our first contribution, we describe the necessary correction steps and a compact representation for the input images in order to achieve a highly accurate approximation to the required ray space.
