Guo, Pengsheng

11 publications

ICCV 2025 Bridging Diffusion Models and 3D Representations: A 3D Consistent Super-Resolution Framework Yi-Ting Chen, Ting-Hsuan Liao, Pengsheng Guo, Alexander Schwing, Jia-Bin Huang

NeurIPS 2025 CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching Chen Chen, Pengsheng Guo, Liangchen Song, Jiasen Lu, Rui Qian, Tsu-Jui Fu, Xinze Wang, Wei Liu, Yinfei Yang, Alex Schwing

ICML 2025 CommVQ: Commutative Vector Quantization for KV Cache Compression Junyan Li, Yang Zhang, Muhammad Yusuf Hassan, Talha Chafekar, Tianle Cai, Zhile Ren, Pengsheng Guo, Foroozan Karimzadeh, Colorado Reed, Chong Wang, Chuang Gan

NeurIPS 2025 On Inductive Biases That Enable Generalization in Diffusion Transformers Jie An, De Wang, Pengsheng Guo, Jiebo Luo, Alex Schwing

ICML 2025 Variational Rectified Flow Matching Pengsheng Guo, Alex Schwing

ICLRW 2025 Variational Rectified Flow Matching Pengsheng Guo, Alex Schwing

ICCV 2023 CVRecon: Rethinking 3D Geometric Feature Learning for Neural Reconstruction Ziyue Feng, Liang Yang, Pengsheng Guo, Bing Li

WACV 2022 Fast and Explicit Neural View Synthesis Pengsheng Guo, Miguel Angel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan

NeurIPS 2022 GAUDI: A Neural Architect for Immersive 3D Scene Generation Miguel Angel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua Susskind

CVPR 2021 MetricOpt: Learning to Optimize Black-Box Evaluation Metrics Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh Susskind

ICML 2020 Learning to Branch for Multi-Task Learning Pengsheng Guo, Chen-Yu Lee, Daniel Ulbricht