no code implementations • 13 Jun 2023 • Zhengyu Huang, Haoran Xie, Tsukasa Fukusato, Kazunori Miyata
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.
1 code implementation • 14 Feb 2023 • Yichen Peng, Chunqi Zhao, Haoran Xie, Tsukasa Fukusato, Kazunori Miyata
We then introduce a Stochastic Region Abstraction (SRA), an approach to augment our dataset to improve the robustness of SGLDM to handle sketch input with arbitrary abstraction.
no code implementations • 27 Jan 2022 • Zhengyu Huang, Haoran Xie, Tsukasa Fukusato
We propose an interactive 3D character modeling approach from orthographic drawings (e. g., front and side views) based on 2D-space annotations.
no code implementations • 10 Aug 2021 • Ryoma Miyauchi, Tsukasa Fukusato, Haoran Xie, Kazunori Miyata
First, the proposed system separates the closed areas in each keyframe and estimates the correspondences between closed areas by using the characteristics of shape, depth, and closed area connection.
1 code implementation • 26 Apr 2021 • Zhengyu Huang, Yichen Peng, Tomohiro Hibino, Chunqi Zhao, Haoran Xie, Tsukasa Fukusato, Kazunori Miyata
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.