Ge, Songwei

14 publications

CVPR 2025 A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation Andrew Z. Wang, Songwei Ge, Tero Karras, Ming-Yu Liu, Yogesh Balaji
CVPR 2024 Grounded Text-to-Image Synthesis with Attention Refocusing Quynh Phung, Songwei Ge, Jia-Bin Huang
CVPR 2024 On the Content Bias in Frechet Video Distance Songwei Ge, Aniruddha Mahapatra, Gaurav Parmar, Jun-Yan Zhu, Jia-Bin Huang
NeurIPS 2024 Rethinking Score Distillation as a Bridge Between Image Distributions David McAllister, Songwei Ge, Jia-Bin Huang, David W. Jacobs, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa
ICCV 2023 Expressive Text-to-Image Generation with Rich Text Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang
CVPR 2023 Hyperbolic Contrastive Learning for Visual Representations Beyond Objects Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs
ICCV 2023 Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
ECCV 2022 Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer Songwei Ge, Thomas Hayes, Harry Yang, Xi Yin, Guan Pang, David Jacobs, Jia-Bin Huang, Devi Parikh
ECCV 2022 MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration Thomas Hayes, Songyang Zhang, Xi Yin, Guan Pang, Sasha Sheng, Harry Yang, Songwei Ge, Qiyuan Hu, Devi Parikh
ICLR 2021 Creative Sketch Generation Songwei Ge, Vedanuj Goswami, Larry Zitnick, Devi Parikh
NeurIPS 2021 Robust Contrastive Learning Using Negative Samples with Diminished Semantics Songwei Ge, Shlok Mishra, Chun-Liang Li, Haohan Wang, David Jacobs
NeurIPS 2021 Shift Invariance Can Reduce Adversarial Robustness Vasu Singla, Songwei Ge, Basri Ronen, David Jacobs
ICLR 2020 Smooth Kernels Improve Adversarial Robustness and Perceptually-Aligned Gradients Haohan Wang, Xindi Wu, Songwei Ge, Zachary C. Lipton, Eric P. Xing
NeurIPS 2019 Learning Robust Global Representations by Penalizing Local Predictive Power Haohan Wang, Songwei Ge, Zachary Lipton, Eric P Xing