How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects
Wonkwang Lee, Jongwon Jeong, Taehong Moon, HyeonJong Kim, Jaehyeon Kim, Gunhee Kim, Byeong-Uk Lee
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens
Jaehyeon Kim, Taehong Moon, Keon Lee, Jaewoong Cho
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, Takuma Seno
DeClotH: Decomposable 3D Cloth and Human Body Reconstruction from a Single Image
Hyeongjin Nam, Donghwan Kim, Jeongtaek Oh, Kyoung Mu Lee
Perceptually Accurate 3D Talking Head Generation: New Definitions, Speech-Mesh Representation, and Evaluation Metrics
Chae-Yeon Lee, Oh Hyun-Bin, Han EunGi, Kim Sung-Bin, Suekyeong Nam , Tae-Hyun Oh
KRAFTON AI Fellowship 2nd Cohort’s Sunwoo Kim Publishes First-Author Paper at ICLR, One of the World’s Top 3 AI Conferences
KRAFTON AI Fellowship 2nd Cohort’s Sunwoo Kim Publishes First-Author Paper at ICLR, One of the World’s Top 3 AI Conferences Sunwoo Kim, a student from the 2nd cohort of the KRAFTON AI Fellowship, has successfully published a first-author paper at the International Conference on Learning Representations (ICLR), one of the world’s top three AI conferences. …
Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation
Jaechang Kim, Jinmin Goh, Inseok Hwang, Jaewoong Cho, Jungseul Ok
TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation
Gihyun Kwon, Jong Chul Ye
DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific Factors
Keon Lee, Dong Won Kim, Jaehyeon Kim, Seungjun Chung, Jaewoong Cho
Active Learning for Continual Learning: Keeping the Past Alive in the Present
Jaehyeon Park, Dongmin Park, Jae-Gil Lee