Search Results for author:
Found 6 papers, 2 papers with code
AniFaceDrawing: Anime Portrait Exploration during Your Sketching
In the second stage, we simulated the drawing process of the generated images without any additional data (labels) and trained the sketch encoder for incomplete progressive sketches to generate high-quality portrait images with feature alignment to the disentangled representations in the teacher encoder.
Unsupervised Learning Based Focal Stack Camera Depth Estimation
We propose an unsupervised deep learning based method to estimate depth from focal stack camera images.
Interactive 3D Character Modeling from 2D Orthogonal Drawings with Annotations
We propose an interactive 3D character modeling approach from orthographic drawings (e. g., front and side views) based on 2D-space annotations.
dualFace:Two-Stage Drawing Guidance for Freehand Portrait Sketching
In the stage of local guidance, we synthesize detailed portrait images with a deep generative model from user-drawn contour lines, but use the synthesized results as detailed drawing guidance.
ES-Net: An Efficient Stereo Matching Network
Dense stereo matching with deep neural networks is of great interest to the research community.
Momentum-Net: Fast and convergent iterative neural network for inverse problems
Iterative neural networks (INN) are rapidly gaining attention for solving inverse problems in imaging, image processing, and computer vision.
