Name: Wentao Chao
Type: User
Company: Beijing Normal University
Bio: I am a Ph.D. candidate student at Beijing Normal University, and my research focuses on computer vision, especially light field image processing.
Location: Beijing Normal University, Beijing, China
Wentao Chao's Projects
[CVPR 2022] Occlusion-Aware Cost Constructor for Light Field Depth Estimation
Open Source Computer Vision Library
First project for CVND: facial keypoint detection.
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
A best practice for pytorch project template architecture.
SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color
Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)
create dynamic strokes from pixel images
Multilayer LSTM and Mixture Density Network for modelling path-level SVG Vector Graphics data in TensorFlow
(TCI 2023) Learning Sub-Pixel Disparity Distribution for Light Field Depth Estimation
A best practice for tensorflow project template architecture.
Generative Adversarial Text to Image Synthesis in TensorFlow and TensorLayer
Repository for Text2Shape
Two time-scale update rule for training GANs