70 citations · 144 across the 6 of their papers we have counts for
8 papers
Geometry Transfer for Stylizing Radiance Fields
Hyunyoung Jung, Seonghyeon Nam, Nikolaos Sarafianos +3
Shape and geometric patterns are essential in defining stylistic identity. However, current 3D style transfer methods predominantly focus on transferring colors and textures, often…
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations
Zoe Landgraf, Alexander Sorkine Hornung, Ricardo Silveira Cabral
Multi-layer perceptrons (MLP) have proven to be effective scene encoders when combined with higher-dimensional projections of the input, commonly referred to as \textit{positional…
Sampling Based Scene-Space Video Processing
Felix Klose, Oliver Wang, Jean-Charles Bazin +2
Many compelling video processing effects can be achieved if per-pixel depth information and 3D camera calibrations are known. However, the success of such methods is highly depende…
A Fully Progressive Approach to Single-Image Super-Resolution
Yifan Wang, Federico Perazzi, Brian McWilliams +3
Recent deep learning approaches to single image super-resolution have achieved impressive results in terms of traditional error measures and perceptual quality. However, in each ca…
PhaseNet for Video Frame Interpolation
Simone Meyer, Abdelaziz Djelouah, Brian McWilliams +3
Most approaches for video frame interpolation require accurate dense correspondences to synthesize an in-between frame. Therefore, they do not perform well in challenging scenarios…
The 2017 DAVIS Challenge on Video Object Segmentation
Jordi Pont-Tuset, Federico Perazzi, Sergi Caelles +3
We present the 2017 DAVIS Challenge on Video Object Segmentation, a public dataset, benchmark, and competition specifically designed for the task of video object segmentation. Foll…
Efficient Large-scale Approximate Nearest Neighbor Search on the GPU
Patrick Wieschollek, Oliver Wang, Alexander Sorkine-Hornung +1
We present a new approach for efficient approximate nearest neighbor (ANN) search in high dimensional spaces, extending the idea of Product Quantization. We propose a two-level pro…
Learning Video Object Segmentation from Static Images
Anna Khoreva, Federico Perazzi, Rodrigo Benenson +2
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 segmentati…