Pengsheng Guo - RankMe

20 papers A* 7A 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bridging Diffusion Models and 3D Representations: A 3D Consistent Super-Resolution Framework. CoRR Yi-Ting Chen, Ting-Hsuan Liao, Pengsheng Guo, Alexander G. Schwing, Jia-Bin Huang
2025	J	`jnl`	CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching. CoRR Chen Chen, Pengsheng Guo, Liangchen Song, Jiasen Lu, Rui Qian, Xinze Wang, Tsu-Jui Fu, Wei Liu, Yinfei Yang, Alex Schwing
2025	A*	`conf`	CommVQ: Commutative Vector Quantization for KV Cache Compression. ICML Junyan Li, Yang Zhang, Muhammad Yusuf Hassan, Talha Chafekar, Tianle Cai, Zhile Ren, Pengsheng Guo, Foroozan Karimzadeh, Colorado Reed, Chong Wang, Chuang Gan
2025	J	`jnl`	CommVQ: Commutative Vector Quantization for KV Cache Compression. CoRR Junyan Li, Yang Zhang, Muhammad Yusuf Hassan, Talha Chafekar, Tianle Cai, Zhile Ren, Pengsheng Guo, Foroozan Karimzadeh, Colorado Reed, Chong Wang, Chuang Gan
2025	A*	`conf`	Variational Rectified Flow Matching. ICML Pengsheng Guo, Alex Schwing
2025	J	`jnl`	Variational Rectified Flow Matching. CoRR Pengsheng Guo, Alexander G. Schwing
2024	J	`jnl`	On Inductive Biases That Enable Generalization of Diffusion Transformers. CoRR Jie An, De Wang, Pengsheng Guo, Jiebo Luo, Alexander G. Schwing
2023	A*	`conf`	CVRecon: Rethinking 3D Geometric Feature Learning For Neural Reconstruction. ICCV Ziyue Feng, Liang Yang, Pengsheng Guo, Bing Li
2023	J	`jnl`	CVRecon: Rethinking 3D Geometric Feature Learning For Neural Reconstruction. CoRR Ziyue Feng, Leon Yang, Pengsheng Guo, Bing Li
2023	J	`jnl`	StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D. CoRR Pengsheng Guo, Hans Hao, Adam Caccavale, Zhongzheng Ren, Edward Zhang, Qi Shan, Aditya Sankar, Alexander G. Schwing, Alex Colburn, Fangchang Ma
2022	A	`conf`	Fast and Explicit Neural View Synthesis. WACV Pengsheng Guo, Miguel Ángel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan
2022	A*	`conf`	GAUDI: A Neural Architect for Immersive 3D Scene Generation. NeurIPS Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua M. Susskind
2022	J	`jnl`	GAUDI: A Neural Architect for Immersive 3D Scene Generation. CoRR Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Josh M. Susskind
2021	J	`jnl`	Fast and Explicit Neural View Synthesis. CoRR Pengsheng Guo, Miguel Ángel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan
2021	A*	`conf`	MetricOpt: Learning To Optimize Black-Box Evaluation Metrics. CVPR Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind
2021	J	`jnl`	MetricOpt: Learning to Optimize Black-Box Evaluation Metrics. CoRR Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind
2020	A*	`conf`	Learning to Branch for Multi-Task Learning. ICML Pengsheng Guo, Chen-Yu Lee, Daniel Ulbricht
2020	J	`jnl`	Learning to Branch for Multi-Task Learning. CoRR Pengsheng Guo, Chen-Yu Lee, Daniel Ulbricht
2019	A*	`conf`	Adaptive Variance for Changing Sparse-Reward Environments. ICRA Xingyu Lin, Pengsheng Guo, Carlos Florensa, David Held
2019	J	`jnl`	Adaptive Variance for Changing Sparse-Reward Environments. CoRR Xingyu Lin, Pengsheng Guo, Carlos Florensa, David Held