Publications

Our publications provide insight into some of our leading-edge research.

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2026

GenRecal: Generation after Recalibration from Large to Small Vision-Language Models
Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro, Yu-Chiang Frank Wang, Yueh-Hua Wu
Why and When Visual Token Pruning Fails? A Study on Relevant Visual Information Shift in MLLMs Decoding
Jiwan Kim, Kibum Kim, Wonjoong Kim, Byung-Kwan Lee, Chanyoung Park
FusionRelight: Relighting Portraits in Real Time via Hybrid Domain Knowledge Fusion
Qian Huang, Mayoore Selvarasa Jaiswal, Zhen Zhong, Rochelle Pereira, Jianyuan Min
HorizonRelight: Relighting Long-horizon Videos Consistently via Diffusion Transformers
Jing Yang, Mayoore Jaiswal, Zian Wang, Xiao Steven Zeng, Yajie Zhao, Rochelle Pereira, Jianyuan Min

2024

DiffiT: Diffusion Vision Transformers for Image Generation
Ali Hatamizadeh , Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis
Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng

2022

"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
Niv Cohen, Rinon Gal, Eli Meirom, Gal Chechik, Yuval Atzmon
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone
LANA: Latency Aware Network Acceleration
Pavlo Molchanov, Jimmy Hall, Hongxu Danny Yin, Jan Kautz, Nicolo Fusi, Arash Vahdat
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
Niv Cohen, Rinon Gal, Gal Chechik, Yuval Atzmon
Oral