1 citations · 2 across the 3 of their papers we have counts for
6 papers · 1 filter
Enhancing Speech-Driven 3D Facial Animation with Audio-Visual Guidance from Lip Reading Expert
Han EunGi, Oh Hyun-Bin, Kim Sung-Bin +4
Speech-driven 3D facial animation has recently garnered attention due to its cost-effective usability in multimedia production. However, most current advances overlook the intellig…
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…
Revisiting Learning-based Video Motion Magnification for Real-time Processing
Hyunwoo Ha, Oh Hyun-Bin, Kim Jun-Seong +6
Video motion magnification is a technique to capture and amplify subtle motion in a video that is invisible to the naked eye. The deep learning-based prior work successfully demons…
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…
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…
The Devil in the Details: Simple and Effective Optical Flow Synthetic Data Generation
Kwon Byung-Ki, Kim Sung-Bin, Tae-Hyun Oh
Recent work on dense optical flow has shown significant progress, primarily in a supervised learning manner requiring a large amount of labeled data. Due to the expensiveness of ob…