2026

Understanding, Accelerating, and Improving MeanFlow Training
Understanding, Accelerating, and Improving MeanFlow Training

Jin-Young Kim*, Hyojun Go*, Lea Bogensperger, Julius Erbach, Nikolai Kalischek, Federico Tombari, Konrad Schindler, Dominik Narnhofer (* equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

Understanding, Accelerating, and Improving MeanFlow Training

Jin-Young Kim*, Hyojun Go*, Lea Bogensperger, Julius Erbach, Nikolai Kalischek, Federico Tombari, Konrad Schindler, Dominik Narnhofer (* equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs
Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs

Hyungjin Chung, Hyelin Nam, Jiyeon Kim, Hyojun Go, Byeongjun Park, Junho Kim, Joonseok Lee, Seongsu Ha, Byung-Hoon Kim

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Findings 2026

Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs

Hyungjin Chung, Hyelin Nam, Jiyeon Kim, Hyojun Go, Byeongjun Park, Junho Kim, Joonseok Lee, Seongsu Ha, Byung-Hoon Kim

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Findings 2026

VIST3A: Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator
VIST3A: Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator

Hyojun Go, Dominik Narnhofer, Goutam Bhat, Prune Truong, Federico Tombari, Konrad Schindler

International Conference on Learning Representations (ICLR) 2026 Oral

VIST3A: Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator

Hyojun Go, Dominik Narnhofer, Goutam Bhat, Prune Truong, Federico Tombari, Konrad Schindler

International Conference on Learning Representations (ICLR) 2026 Oral

2025

SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering
SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering

Byeongjun Park*, Hyojun Go*, Hyelin Nam, Byung-Hoon Kim, Hyungjin Chung, Changick Kim (* equal contribution)

International Conference on Computer Vision (ICCV) 2025

SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering

Byeongjun Park*, Hyojun Go*, Hyelin Nam, Byung-Hoon Kim, Hyungjin Chung, Changick Kim (* equal contribution)

International Conference on Computer Vision (ICCV) 2025

VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling
VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling

Hyojun Go*, Byeongjun Park*, Hyelin Nam, Byung-Hoon Kim, Hyungjin Chung, Changick Kim (* equal contribution)

International Conference on Computer Vision (ICCV) 2025

VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling

Hyojun Go*, Byeongjun Park*, Hyelin Nam, Byung-Hoon Kim, Hyungjin Chung, Changick Kim (* equal contribution)

International Conference on Computer Vision (ICCV) 2025

SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis
SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis

Hyojun Go*, Byeongjun Park*, Jiho Jang, Jin-Young Kim, Soonwoo Kwon, Changick Kim (* equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025

SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis

Hyojun Go*, Byeongjun Park*, Jiho Jang, Jin-Young Kim, Soonwoo Kwon, Changick Kim (* equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025

Denoising Task Difficulty-based Curriculum for Training Diffusion Models
Denoising Task Difficulty-based Curriculum for Training Diffusion Models

Jin-Young Kim*, Hyojun Go*, Soonwoo Kwon, Hyun-Gyoon Kim (* equal contribution)

International Conference on Learning Representations (ICLR) 2025

Denoising Task Difficulty-based Curriculum for Training Diffusion Models

Jin-Young Kim*, Hyojun Go*, Soonwoo Kwon, Hyun-Gyoon Kim (* equal contribution)

International Conference on Learning Representations (ICLR) 2025

Diffusion Model Patching via Mixture-of-Prompts
Diffusion Model Patching via Mixture-of-Prompts

Seokil Ham*, Sangmin Woo*, Jin-Young Kim, Hyojun Go, Byeongjun Park, Changick Kim (* equal contribution)

AAAI Conference on Artificial Intelligence (AAAI) 2025

Diffusion Model Patching via Mixture-of-Prompts

Seokil Ham*, Sangmin Woo*, Jin-Young Kim, Hyojun Go, Byeongjun Park, Changick Kim (* equal contribution)

AAAI Conference on Artificial Intelligence (AAAI) 2025

2024

Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts
Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts

Byeongjun Park, Hyojun Go, Jin-Young Kim, Sangmin Woo, Seokil Ham, Changick Kim

European Conference on Computer Vision (ECCV) 2024

Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts

Byeongjun Park, Hyojun Go, Jin-Young Kim, Sangmin Woo, Seokil Ham, Changick Kim

European Conference on Computer Vision (ECCV) 2024

TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models
TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models

Twelvelabs Team

Technical Report 2024

TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models

Twelvelabs Team

Technical Report 2024

HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D
HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D

Sangmin Woo*, Byeongjun Park*, Hyojun Go, Jin-Young Kim, Changick Kim (* equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D

Sangmin Woo*, Byeongjun Park*, Hyojun Go, Jin-Young Kim, Changick Kim (* equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

Denoising Task Routing for Diffusion Models
Denoising Task Routing for Diffusion Models

Byeongjun Park*, Sangmin Woo*, Hyojun Go*, Jin-Young Kim*, Changick Kim (* equal contribution)

International Conference on Learning Representations (ICLR) 2024

Denoising Task Routing for Diffusion Models

Byeongjun Park*, Sangmin Woo*, Hyojun Go*, Jin-Young Kim*, Changick Kim (* equal contribution)

International Conference on Learning Representations (ICLR) 2024

Pegasus-v1 Technical Report
Pegasus-v1 Technical Report

Twelvelabs Team

Technical Report 2024

Pegasus-v1 Technical Report

Twelvelabs Team

Technical Report 2024

Bridging Implicit and Explicit Geometric Transformation for Single-Image View Synthesis
Bridging Implicit and Explicit Geometric Transformation for Single-Image View Synthesis

Byeongjun Park*, Hyojun Go*, Changick Kim (* equal contribution)

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024

Bridging Implicit and Explicit Geometric Transformation for Single-Image View Synthesis

Byeongjun Park*, Hyojun Go*, Changick Kim (* equal contribution)

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024

Multi-Architecture Multi-Expert Diffusion Models
Multi-Architecture Multi-Expert Diffusion Models

Yunsung Lee*, JinYoung Kim*, Hyojun Go*, Myeongho Jeong, Shinhyeok Oh, Seungtaek Choi (* equal contribution)

AAAI Conference on Artificial Intelligence (AAAI) 2024

Multi-Architecture Multi-Expert Diffusion Models

Yunsung Lee*, JinYoung Kim*, Hyojun Go*, Myeongho Jeong, Shinhyeok Oh, Seungtaek Choi (* equal contribution)

AAAI Conference on Artificial Intelligence (AAAI) 2024

2023

Addressing Negative Transfer in Diffusion Models
Addressing Negative Transfer in Diffusion Models

Hyojun Go*, JinYoung Kim*, Yunsung Lee*, Seunghyun Lee*, Shinhyeok Oh, Hyeongdon Moon, Seungtaek Choi (* equal contribution)

Advances in Neural Information Processing Systems (NeurIPS) 2023

Addressing Negative Transfer in Diffusion Models

Hyojun Go*, JinYoung Kim*, Yunsung Lee*, Seunghyun Lee*, Shinhyeok Oh, Hyeongdon Moon, Seungtaek Choi (* equal contribution)

Advances in Neural Information Processing Systems (NeurIPS) 2023

Evaluation of Question Generation Needs More References
Evaluation of Question Generation Needs More References

Shinhyeok Oh*, Hyojun Go*, Hyeongdon Moon, Yunsung Lee, Myeongho Jeong, Hyun Seung Lee, Seungtaek Choi (* equal contribution)

Findings of the Association for Computational Linguistics (ACL) 2023

Evaluation of Question Generation Needs More References

Shinhyeok Oh*, Hyojun Go*, Hyeongdon Moon, Yunsung Lee, Myeongho Jeong, Hyun Seung Lee, Seungtaek Choi (* equal contribution)

Findings of the Association for Computational Linguistics (ACL) 2023

Cross Encoding as Augmentation: Towards Effective Educational Text Classification
Cross Encoding as Augmentation: Towards Effective Educational Text Classification

Hyun Seung Lee, Seungtaek Choi, Yunsung Lee, Hyeongdon Moon, Shinhyeok Oh, Myeongho Jeong, Hyojun Go, Christian Wallraven

Findings of the Association for Computational Linguistics (ACL) 2023

Cross Encoding as Augmentation: Towards Effective Educational Text Classification

Hyun Seung Lee, Seungtaek Choi, Yunsung Lee, Hyeongdon Moon, Shinhyeok Oh, Myeongho Jeong, Hyojun Go, Christian Wallraven

Findings of the Association for Computational Linguistics (ACL) 2023

Towards Practical Plug-and-Play Diffusion Models
Towards Practical Plug-and-Play Diffusion Models

Hyojun Go*, Yunsung Lee*, Jin-Young Kim*, Seunghyun Lee, Myeongho Jeong, Hyun Seung Lee, Seungtaek Choi (* equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

Towards Practical Plug-and-Play Diffusion Models

Hyojun Go*, Yunsung Lee*, Jin-Young Kim*, Seunghyun Lee, Myeongho Jeong, Hyun Seung Lee, Seungtaek Choi (* equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

2022

Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling
Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling

Yunsung Lee*, Gyuseong Lee*, Kwangrok Ryoo*, Hyojun Go*, Jihye Park*, Seungryong Kim (* equal contribution)

European Conference on Computer Vision Workshop (ECCVW) 2022

Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling

Yunsung Lee*, Gyuseong Lee*, Kwangrok Ryoo*, Hyojun Go*, Jihye Park*, Seungryong Kim (* equal contribution)

European Conference on Computer Vision Workshop (ECCVW) 2022

On the Effectiveness of Small Input Noise for Defending Against Query-based Black-box Attacks
On the Effectiveness of Small Input Noise for Defending Against Query-based Black-box Attacks

Junyoung Byun, Hyojun Go, Changick Kim

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2022

On the Effectiveness of Small Input Noise for Defending Against Query-based Black-box Attacks

Junyoung Byun, Hyojun Go, Changick Kim

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2022

Geometrically Adaptive Dictionary Attack on Face Recognition
Geometrically Adaptive Dictionary Attack on Face Recognition

Junyoung Byun, Hyojun Go, Changick Kim

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2022

Geometrically Adaptive Dictionary Attack on Face Recognition

Junyoung Byun, Hyojun Go, Changick Kim

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2022

2021

Fine-grained Multi-class Object Counting
Fine-grained Multi-class Object Counting

Hyojun Go, Junyoung Byun, Byeongjun Park, Myung-Ae Choi, Seunghwa Yoo, Changick Kim

IEEE International Conference on Image Processing (ICIP) 2021

Fine-grained Multi-class Object Counting

Hyojun Go, Junyoung Byun, Byeongjun Park, Myung-Ae Choi, Seunghwa Yoo, Changick Kim

IEEE International Conference on Image Processing (ICIP) 2021