19 citations · 61 across the 29 of their papers we have counts for
29 papers
Towards High Fidelity Face Swapping: A Comprehensive Survey and New Benchmark
Qi Li, Weining Wang, Shuangjun Du +5
Face swapping has witnessed significant progress in recent years, largely driven by advances in deep generative models such as GANs and diffusion models.Despite these advances, exi…
Noise-Informed Diffusion-Generated Image Detection with Anomaly Attention
Weinan Guan, Wei Wang, Bo Peng +3
With the rapid development of image generation technologies, especially the advancement of Diffusion Models, the quality of synthesized images has significantly improved, raising c…
Concept Corrector: Erase concepts on the fly for text-to-image diffusion models
Zheling Meng, Bo Peng, Xiaochuan Jin +4
Text-to-image diffusion models have demonstrated the underlying risk of generating various unwanted content, such as sexual elements. To address this issue, the task of concept era…
Dark Miner: Defend against undesirable generation for text-to-image diffusion models
Zheling Meng, Bo Peng, Xiaochuan Jin +4
Text-to-image diffusion models have been demonstrated with undesired generation due to unfiltered large-scale training data, such as sexual images and copyrights, necessitating the…
S^3D-NeRF: Single-Shot Speech-Driven Neural Radiance Field for High Fidelity Talking Head Synthesis
Dongze Li, Kang Zhao, Wei Wang +4
Talking head synthesis is a practical technique with wide applications. Current Neural Radiance Field (NeRF) based approaches have shown their superiority on driving one-shot talki…
CLIP-AGIQA: Boosting the Performance of AI-Generated Image Quality Assessment with CLIP
Zhenchen Tang, Zichuan Wang, Bo Peng +1
With the rapid development of generative technologies, AI-Generated Images (AIGIs) have been widely applied in various aspects of daily life. However, due to the immaturity of the…
Counterfactual Explanations for Face Forgery Detection via Adversarial Removal of Artifacts
Yang Li, Songlin Yang, Wei Wang +3
Highly realistic AI generated face forgeries known as deepfakes have raised serious social concerns. Although DNN-based face forgery detection models have achieved good performance…
Latent Watermark: Inject and Detect Watermarks in Latent Diffusion Space
Zheling Meng, Bo Peng, Jing Dong
Watermarking is a tool for actively identifying and attributing the images generated by latent diffusion models. Existing methods face the dilemma of image quality and watermark ro…
Artifact Feature Purification for Cross-domain Detection of AI-generated Images
Zheling Meng, Bo Peng, Jing Dong +1
In the era of AIGC, the fast development of visual content generation technologies, such as diffusion models, bring potential security risks to our society. Existing generated imag…
RS-Corrector: Correcting the Racial Stereotypes in Latent Diffusion Models
Yue Jiang, Yueming Lyu, Tianxiang Ma +2
Recent text-conditioned image generation models have demonstrated an exceptional capacity to produce diverse and creative imagery with high visual quality. However, when pre-traine…
Learning Dense Correspondence for NeRF-Based Face Reenactment
Songlin Yang, Wei Wang, Yushi Lan +4
Face reenactment is challenging due to the need to establish dense correspondence between various face representations for motion transfer. Recent studies have utilized Neural Radi…
AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis
Dongze Li, Kang Zhao, Wei Wang +4
Audio-driven talking head synthesis is a promising topic with wide applications in digital human, film making and virtual reality. Recent NeRF-based approaches have shown superiori…
DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing
Yueming Lyu, Kang Zhao, Bo Peng +5
Text-guided image editing faces significant challenges when considering training and inference flexibility. Much literature collects large amounts of annotated image-text pairs to…
Context-Aware Talking-Head Video Editing
Songlin Yang, Wei Wang, Jun Ling +3
Talking-head video editing aims to efficiently insert, delete, and substitute the word of a pre-recorded video through a text transcript editor. The key challenge for this task is…
InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer
Yueming Lyu, Yue Jiang, Bo Peng +1
Artistic style transfer aims to transfer the style of an artwork to a photograph while maintaining its original overall content. Many prior works focus on designing various transfe…
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection
Yueming Lyu, Yue Jiang, Ziwen He +3
The privacy and security of face data on social media are facing unprecedented challenges as it is vulnerable to unauthorized access and identification. A common practice for solvi…
Collaborative Feature Learning for Fine-grained Facial Forgery Detection and Segmentation
Weinan Guan, Wei Wang, Jing Dong +2
Detecting maliciously falsified facial images and videos has attracted extensive attention from digital-forensics and computer-vision communities. An important topic in manipulatio…
Designing a 3D-Aware StyleNeRF Encoder for Face Editing
Songlin Yang, Wei Wang, Bo Peng +1
GAN inversion has been exploited in many face manipulation tasks, but 2D GANs often fail to generate multi-view 3D consistent images. The encoders designed for 2D GANs are not able…
Visual Realism Assessment for Face-swap Videos
Xianyun Sun, Beibei Dong, Caiyong Wang +2
Deep-learning based face-swap videos, also known as deep fakes, are becoming more and more realistic and deceiving. The malicious usage of these face-swap videos has caused wide co…
DFGC 2022: The Second DeepFake Game Competition
Bo Peng, Wei Xiang, Yue Jiang +5
This paper presents the summary report on our DFGC 2022 competition. The DeepFake is rapidly evolving, and realistic face-swaps are becoming more deceptive and difficult to detect.…
Exposing Fine-Grained Adversarial Vulnerability of Face Anti-Spoofing Models
Songlin Yang, Wei Wang, Chenye Xu +3
Face anti-spoofing aims to discriminate the spoofing face images (e.g., printed photos) from live ones. However, adversarial examples greatly challenge its credibility, where addin…
DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis
Yueming Lyu, Peibin Chen, Jingna Sun +3
In recent years, conditional image synthesis has attracted growing attention due to its controllability in the image generation process. Although recent works have achieved realist…
DFGC 2021: A DeepFake Game Competition
Bo Peng, Hongxing Fan, Wei Wang +20
This paper presents a summary of the DFGC 2021 competition. DeepFake technology is developing fast, and realistic face-swaps are increasingly deceiving and hard to detect. At the s…
Robust Face-Swap Detection Based on 3D Facial Shape Information
Weinan Guan, Wei Wang, Jing Dong +2
Maliciously-manipulated images or videos - so-called deep fakes - especially face-swap images and videos have attracted more and more malicious attackers to discredit some key figu…