Ge, Chongjian

Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations

Liang, Y., Ge, C., Tong, Z., Song, Y., Wang, J., & Xie, P. (2022) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 131

PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Chen, J., Ge, C., Xie, E., Wu, Y., Yao, L., Ren, X., Wang, Z., Luo, P., Lu, H., & Li, Z. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 113

PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Chen, J., Yu, J., Ge, C., Yao, L., Xie, E., Wu, Y., Wang, Z., Kwok, J., Luo, P., Lu, H., et al. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 30

Goku: Flow Based Video Generative Foundation Models

Chen, S., Ge, C., Zhang, Y., Zhang, Y., Zhu, F., Yang, H., Hao, H., Wu, H., Lai, Z., Hu, Y., et al. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 11

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis

Mu, Y., Chen, J., Zhang, Q., Chen, S., Yu, Q., Ge, C., Chen, R., Liang, Z., Hu, M., Tao, C., et al. (2024) · arXiv

Robot Manipulation and LearningMultimodal Machine Learning Applications

Cited by 3