3 citations · 3 across the 6 of their papers we have counts for
7 papers
Pose-Free Neural Radiance Fields via Implicit Pose Regularization
Jiahui Zhang, Fangneng Zhan, Yingchen Yu +5
Pose-free neural radiance fields (NeRF) aim to train NeRF with unposed multi-view images and it has achieved very impressive success in recent years. Most existing works share the…
Audio-Driven Talking Face Generation with Diverse yet Realistic Facial Animations
Rongliang Wu, Yingchen Yu, Fangneng Zhan +3
Audio-driven talking face generation, which aims to synthesize talking faces with realistic facial animations (including accurate lip movements, vivid facial expression details and…
POCE: Pose-Controllable Expression Editing
Rongliang Wu, Yingchen Yu, Fangneng Zhan +3
Facial expression editing has attracted increasing attention with the advance of deep neural networks in recent years. However, most existing methods suffer from compromised editin…
Face Transformer: Towards High Fidelity and Accurate Face Swapping
Kaiwen Cui, Rongliang Wu, Fangneng Zhan +1
Face swapping aims to generate swapped images that fuse the identity of source faces and the attributes of target faces. Most existing works address this challenging task through 3…
Latent Multi-Relation Reasoning for GAN-Prior based Image Super-Resolution
Jiahui Zhang, Fangneng Zhan, Yingchen Yu +3
Recently, single image super-resolution (SR) under large scaling factors has witnessed impressive progress by introducing pre-trained generative adversarial networks (GANs) as prio…
Auto-regressive Image Synthesis with Integrated Quantization
Fangneng Zhan, Yingchen Yu, Rongliang Wu +4
Deep generative models have achieved conspicuous progress in realistic image synthesis with multifarious conditional inputs, while generating diverse yet high-fidelity images remai…