most citedSinDiffusion: Learning a Diffusion Model from a Single Natural Image

18 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20225 cited

Hand-Object Interaction Image Generation

Hezhen Hu, Weilun Wang, Wengang Zhou +1

In this work, we are dedicated to a new task, i.e., hand-object interaction image generation, which aims to conditionally generate the hand-object image under the given hand, objec…

cs.CV2022

CLIP2GAN: Towards Bridging Text with the Latent Space of GANs

Yixuan Wang, Wengang Zhou, Jianmin Bao +3

In this work, we are dedicated to text-guided image generation and propose a novel framework, i.e., CLIP2GAN, by leveraging CLIP model and StyleGAN. The key idea of our CLIP2GAN is…

cs.CV202218 cited

SinDiffusion: Learning a Diffusion Model from a Single Natural Image

Weilun Wang, Jianmin Bao, Wengang Zhou +4

We present SinDiffusion, leveraging denoising diffusion models to capture internal distribution of patches from a single natural image. SinDiffusion significantly improves the qual…

cs.CV20213 cited

Heredity-aware Child Face Image Generation with Latent Space Disentanglement

Xiao Cui, Wengang Zhou, Yang Hu +2

Generative adversarial networks have been widely used in image synthesis in recent years and the quality of the generated image has been greatly improved. However, the flexibility…

cs.CV2021

Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation

Weilun Wang, Wengang Zhou, Jianmin Bao +2

Contrastive learning shows great potential in unpaired image-to-image translation, but sometimes the translated results are in poor quality and the contents are not preserved consi…