9 citations · 26 across the 6 of their papers we have counts for
9 papers
Incorporating Pre-trained Diffusion Models in Solving the Schrödinger Bridge Problem
Zhicong Tang, Tiankai Hang, Shuyang Gu +2
This paper aims to unify Score-based Generative Models (SGMs), also known as Diffusion models, and the Schrödinger Bridge (SB) problem through three reparameterization techniques:…
DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models
Zhendong Wang, Jianmin Bao, Shuyang Gu +3
In this paper, we present DesignDiffusion, a simple yet effective framework for the novel task of synthesizing design images from textual descriptions. A primary challenge lies in…
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Binxin Yang, Shuyang Gu, Bo Zhang +5
Language-guided image editing has achieved great success recently. In this paper, for the first time, we investigate exemplar-guided image editing for more precise control. We achi…
High-Fidelity and Arbitrary Face Editing
Yue Gao, Fangyun Wei, Jianmin Bao +4
Cycle consistency is widely used for face editing. However, we observe that the generator tends to find a tricky way to hide information from the original image to satisfy the cons…
Learnable Sampling 3D Convolution for Video Enhancement and Action Recognition
Shuyang Gu, Jianmin Bao, Dong Chen
A key challenge in video enhancement and action recognition is to fuse useful information from neighboring frames. Recent works suggest establishing accurate correspondences betwee…
PriorGAN: Real Data Prior for Generative Adversarial Nets
Shuyang Gu, Jianmin Bao, Dong Chen +1
Generative adversarial networks (GANs) have achieved rapid progress in learning rich data distributions. However, we argue about two main issues in existing techniques. First, the…