2 citations · 5 across the 10 of their papers we have counts for
8 papers · 1 filter
VoiceCraft-Dub: Automated Video Dubbing with Neural Codec Language Models
Kim Sung-Bin, Jeongsoo Choi, Puyuan Peng +3
We present VoiceCraft-Dub, a novel approach for automated video dubbing that synthesizes high-quality speech from text and facial cues. This task has broad applications in filmmaki…
SoundBrush: Sound as a Brush for Visual Scene Editing
Kim Sung-Bin, Kim Jun-Seong, Junseok Ko +2
We propose SoundBrush, a model that uses sound as a brush to edit and manipulate visual scenes. We extend the generative capabilities of the Latent Diffusion Model (LDM) to incorpo…
Sound2Vision: Generating Diverse Visuals from Audio through Cross-Modal Latent Alignment
Kim Sung-Bin, Arda Senocak, Hyunwoo Ha +1
How does audio describe the world around us? In this work, we propose a method for generating images of visual scenes from diverse in-the-wild sounds. This cross-modal generation t…
AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models
Kim Sung-Bin, Oh Hyun-Bin, JungMok Lee +3
Following the success of Large Language Models (LLMs), expanding their boundaries to new modalities represents a significant paradigm shift in multimodal understanding. Human perce…
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…
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…