Search Results for author: Weilun Wang

Found 9 papers, 4 papers with code

AltFreezing for More General Video Face Forgery Detection

1 code implementation CVPR 2023 Zhendong Wang, Jianmin Bao, Wengang Zhou, Weilun Wang, Houqiang Li

In this paper, we propose to capture both spatial and temporal artifacts in one model for face forgery detection.

Data Augmentation

DIRE for Diffusion-Generated Image Detection

1 code implementation ICCV 2023 Zhendong Wang, Jianmin Bao, Wengang Zhou, Weilun Wang, Hezhen Hu, Hong Chen, Houqiang Li

We find that existing detectors struggle to detect images generated by diffusion models, even if we include generated images from a specific diffusion model in their training data.

CLIP2GAN: Towards Bridging Text with the Latent Space of GANs

no code implementations28 Nov 2022 YiXuan Wang, Wengang Zhou, Jianmin Bao, Weilun Wang, Li Li, Houqiang Li

The key idea of our CLIP2GAN is to bridge the output feature embedding space of CLIP and the input latent space of StyleGAN, which is realized by introducing a mapping network.

Attribute Image Generation +1

Hand-Object Interaction Image Generation

no code implementations28 Nov 2022 Hezhen Hu, Weilun Wang, Wengang Zhou, Houqiang Li

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, object and their interaction status.

Image Generation Object

SinDiffusion: Learning a Diffusion Model from a Single Natural Image

1 code implementation22 Nov 2022 Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li

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

Denoising Image Generation +1

Semantic Image Synthesis via Diffusion Models

3 code implementations30 Jun 2022 Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li

Denoising Diffusion Probabilistic Models (DDPMs) have achieved remarkable success in various image generation tasks compared with Generative Adversarial Nets (GANs).

Denoising Image Generation

Heredity-aware Child Face Image Generation with Latent Space Disentanglement

no code implementations25 Aug 2021 Xiao Cui, Wengang Zhou, Yang Hu, Weilun Wang, Houqiang Li

The main idea is to disentangle the latent space of a pre-trained generation model and precisely control the face attributes of child images with clear semantics.

Disentanglement Image Generation

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