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20192026
most citedDFGC 2021: A DeepFake Game Competition

19 citations · 61 across the 29 of their papers we have counts for

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Showing 2023Show all

10 papers · 1 filter

cs.CV2023★ 1 cited

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2023

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…

cs.MM2023

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2023★ 2 cited

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…

cs.CV2023

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…

cs.CV2023

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…