8 citations · 19 across the 8 of their papers we have counts for
8 papers
Improving Robustness of Diffusion-Based Zero-Shot Speech Synthesis via Stable Formant Generation
Changjin Han, Seokgi Lee, Gyuhyeon Nam +1
Diffusion models have achieved remarkable success in text-to-speech (TTS), even in zero-shot scenarios. Recent efforts aim to address the trade-off between inference speed and soun…
Learning to Generate Conditional Tri-plane for 3D-aware Expression Controllable Portrait Animation
Taekyung Ki, Dongchan Min, Gyeongsu Chae
In this paper, we present Export3D, a one-shot 3D-aware portrait animation method that is able to control the facial expression and camera view of a given portrait image. To achiev…
Good Neighbors Are All You Need for Chinese Grapheme-to-Phoneme Conversion
Jungjun Kim, Changjin Han, Gyuhyeon Nam +1
Most Chinese Grapheme-to-Phoneme (G2P) systems employ a three-stage framework that first transforms input sequences into character embeddings, obtains linguistic information using…
DisCoHead: Audio-and-Video-Driven Talking Head Generation by Disentangled Control of Head Pose and Facial Expressions
Geumbyeol Hwang, Sunwon Hong, Seunghyun Lee +2
For realistic talking head generation, creating natural head motion while maintaining accurate lip synchronization is essential. To fulfill this challenging task, we propose DisCoH…
PriorityCut: Occlusion-guided Regularization for Warp-based Image Animation
Wai Ting Cheung, Gyeongsu Chae
Image animation generates a video of a source image following the motion of a driving video. State-of-the-art self-supervised image animation approaches warp the source image accor…
KoDF: A Large-scale Korean DeepFake Detection Dataset
Patrick Kwon, Jaeseong You, Gyuhyeon Nam +2
A variety of effective face-swap and face-reenactment methods have been publicized in recent years, democratizing the face synthesis technology to a great extent. Videos generated…
GAN Vocoder: Multi-Resolution Discriminator Is All You Need
Jaeseong You, Dalhyun Kim, Gyuhyeon Nam +2
Several of the latest GAN-based vocoders show remarkable achievements, outperforming autoregressive and flow-based competitors in both qualitative and quantitative measures while s…
Axial Residual Networks for CycleGAN-based Voice Conversion
Jaeseong You, Gyuhyeon Nam, Dalhyun Kim +1
We propose a novel architecture and improved training objectives for non-parallel voice conversion. Our proposed CycleGAN-based model performs a shape-preserving transformation dir…