선도 연구 주제

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NAIRL이 세 가지 선도 연구 주제에 걸쳐 발표한 연구의 전체 색인입니다.

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논문 174개
# Foundation Model for Robotics

SoundBrush: Sound as a Brush for Visual Scene Editing

Kim Sung-Bin, Kim Jun-Seong, Junseok Ko, Yewon Kim, Tae-Hyun Oh · AAAI · 2025
# Foundation Model for Robotics

Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild

Junhyeong Cho, Kim Youwang, Hunmin Yang, Tae-Hyun Oh · CVPR · 2025
# Foundation Model for Robotics

AlignDiT: Multimodal Aligned Diffusion Transformer for Synchronized Speech Generation

Jeongsoo Choi, Ji-Hoon Kim, Kim Sung-Bin, Tae-Hyun Oh, Joon Son Chung · MM · 2025
# Foundation Model for Robotics

VoiceCraft-Dub: Automated Video Dubbing with Neural Codec Language Models

Kim Sung-Bin, Jeongsoo Choi, Puyuan Peng, Joon Son Chung, Tae-Hyun Oh, David Harwath · ICCV · 2025
# Foundation Model for Robotics

Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration

Kim Jun-Seong, GeonU Kim, Kim Yu-Ji, Yu-Chiang Frank Wang, Jaesung Choe, Tae-Hyun Oh · CVPR · 2025
# Foundation Model for Robotics

VSC: Visual Search Compositional Text-to-Image Diffusion Model

Do Huu Dat, Nam Hyeonu, Po-Yuan Mao, Tae-Hyun Oh · ICCV · 2025
# Breakthrough in Neural Scaling Law

Adaptive Non-uniform Timestep Sampling for Accelerating Diffusion Model Training

Myunsoo Kim, Donghyeon Ki, Seong-Woong Shim, Byung-Jun Lee · CVPR · 2025
# Breakthrough in Neural Scaling Law

K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean

Minkyeong Jeon, Hyemin Jeong, Yerang Kim, Jiyoung Kim, Jae Hyeon Cho, Byung-Jun Lee · ACL · 2025
# Breakthrough in Neural Scaling Law

Iterative Prompt Refinement for Safer Text-to-Image Generation

Jinwoo Jeon, JunHyeok Oh, Hayeong Lee, Byung-Jun Lee · EMNLP · 2025
# Breakthrough in Neural Scaling Law

Rethinking DPO: The Role of Rejected Responses in Preference Misalignment

Jay Hyeon Cho, JunHyeok Oh, Myunsoo Kim, Byung-Jun Lee · EMNLP · 2025