3DMM conditioned face generation has gained traction due to its well-def...
We present SAFF: a dynamic neural volume reconstruction of a casual mono...
High-accuracy per-pixel depth is vital for computational photography, so...
Recent advances in machine learning have created increasing interest in
...
Given an imperfect predictor, we exploit additional features at test tim...
Neural networks can represent and accurately reconstruct radiance fields...
Structure from motion (SfM) enables us to reconstruct a scene via casual...
We present an algorithm to estimate fast and accurate depth maps from li...
We present an algorithm that learns a coarse 3D representation of object...
We present a method to estimate dense depth by optimizing a sparse set o...
Reconstructing object geometry and material from multiple views typicall...
Blastomere instance segmentation is important for analyzing embryos'
abn...
We propose a method to compute depth maps for every sub-aperture image i...
Representing a space of handwriting stroke styles includes the challenge...
We introduce a method to convert stereo 360 (omnidirectional stereo)
ima...
We present an algorithm to generate diverse foreground objects and compo...
Unsupervised image-to-image translation techniques are able to map local...
Current unsupervised image-to-image translation techniques struggle to f...
Efficient motion intent communication is necessary for safe and collabor...
Large databases are often organized by hand-labeled metadata, or criteri...
Automatic cell image segmentation methods in connectomics produce merge ...
Existing approaches for diffusion on graphs, e.g., for label propagation...
In many learning tasks, the structure of the target space of a function ...
The common graph Laplacian regularizer is well-established in semi-super...