most citedFacEDiT: Unified Talking Face Editing and Generation via Facial Motion Infilling

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cs.CV20251 cited

FacEDiT: Unified Talking Face Editing and Generation via Facial Motion Infilling

Kim Sung-Bin, Joohyun Chang, David Harwath +1

Talking face editing and face generation have often been studied as distinct problems. In this work, we propose viewing both not as separate tasks but as subtasks of a unifying for…

cs.CV2025

AlignDiT: Multimodal Aligned Diffusion Transformer for Synchronized Speech Generation

Jeongsoo Choi, Ji-Hoon Kim, Kim Sung-Bin +2

In this paper, we address the task of multimodal-to-speech generation, which aims to synthesize high-quality speech from multiple input modalities: text, video, and reference audio…

cs.CV2024

MultiTalk: Enhancing 3D Talking Head Generation Across Languages with Multilingual Video Dataset

Kim Sung-Bin, Lee Chae-Yeon, Gihun Son +4

Recent studies in speech-driven 3D talking head generation have achieved convincing results in verbal articulations. However, generating accurate lip-syncs degrades when applied to…

cs.CV20231 cited

LaughTalk: Expressive 3D Talking Head Generation with Laughter

Kim Sung-Bin, Lee Hyun, Da Hye Hong +3

Laughter is a unique expression, essential to affirmative social interactions of humans. Although current 3D talking head generation methods produce convincing verbal articulations…

cs.CV20231 cited

A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization

Kim Youwang, Lee Hyun, Kim Sung-Bin +3

We propose NeuFace, a 3D face mesh pseudo annotation method on videos via neural re-parameterized optimization. Despite the huge progress in 3D face reconstruction methods, generat…