Zifan Shi

According to our database, Zifan Shi authored at least 20 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation.

Yinghao Xu, Zifan Shi, Wang Yifan, Hansheng Chen, Ceyuan Yang, Sida Peng, Yujun Shen, Gordon Wetzstein

CoRR, 2024

Real-time 3D-aware Portrait Editing from a Single Image.

Qingyan Bai, Yinghao Xu, Zifan Shi, Hao Ouyang, Qiuyu Wang, Ceyuan Yang, Xuan Wang, Gordon Wetzstein, Yujun Shen, Qifeng Chen

CoRR, 2024

2023

Design of Coded Caching Schemes With Linear Subpacketizations Based on Injective Arc Coloring of Regular Digraphs.

Xianzhang Wu, Minquan Cheng, Li Chen, Congduan Li, Zifan Shi

IEEE Trans. Commun., May, 2023

Learning Naturally Aggregated Appearance for Efficient 3D Editing.

Ka Leong Cheng, Qiuyu Wang, Zifan Shi, Kecheng Zheng, Yinghao Xu, Hao Ouyang, Qifeng Chen, Yujun Shen

CoRR, 2023

GenDeF: Learning Generative Deformation Field for Video Generation.

Wen Wang, Kecheng Zheng, Qiuyu Wang, Hao Chen, Zifan Shi, Ceyuan Yang, Yujun Shen, Chunhua Shen

CoRR, 2023

Gaussian Shell Maps for Efficient 3D Human Generation.

Rameen Abdal, Wang Yifan, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, Gordon Wetzstein

CoRR, 2023

DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model.

Yinghao Xu, Hao Tan, Fujun Luan, Sai Bi, Peng Wang, Jiahao Li, Zifan Shi, Kalyan Sunkavalli, Gordon Wetzstein, Zexiang Xu, Kai Zhang

CoRR, 2023

Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis.

Jiapeng Zhu, Ceyuan Yang, Kecheng Zheng, Yinghao Xu, Zifan Shi, Yujun Shen

CoRR, 2023

LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis.

Jiapeng Zhu, Ceyuan Yang, Yujun Shen, Zifan Shi, Deli Zhao, Qifeng Chen

CoRR, 2023

Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase.

Qiuyu Wang, Zifan Shi, Kecheng Zheng, Yinghao Xu, Sida Peng, Yujun Shen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis.

Jiapeng Zhu, Ceyuan Yang, Yujun Shen, Zifan Shi, Bo Dai, Deli Zhao, Qifeng Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis.

Yinghao Xu, Menglei Chai, Zifan Shi, Sida Peng, Ivan Skorokhodov, Aliaksandr Siarohin, Ceyuan Yang, Yujun Shen, Hsin-Ying Lee, Bolei Zhou, Sergey Tulyakov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning 3D-Aware Image Synthesis with Unknown Pose Distribution.

Zifan Shi, Yujun Shen, Yinghao Xu, Sida Peng, Yiyi Liao, Sheng Guo, Qifeng Chen, Dit-Yan Yeung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep Generative Models on 3D Representations: A Survey.

Zifan Shi, Sida Peng, Yinghao Xu, Yiyi Liao, Yujun Shen

CoRR, 2022

Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator.

Zifan Shi, Yinghao Xu, Yujun Shen, Deli Zhao, Qifeng Chen, Dit-Yan Yeung

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

3D-Aware Indoor Scene Synthesis with Depth Priors.

Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, Qifeng Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Stereo Waterdrop Removal with Row-wise Dilated Attention.

Zifan Shi, Na Fan, Dit-Yan Yeung, Qifeng Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Neural Camera Simulators.

Hao Ouyang, Zifan Shi, Chenyang Lei, Ka Lung Law, Qifeng Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2013

Predicting college basketball match outcomes using machine learning techniques: some results and lessons learned.

Albrecht Zimmermann, Sruthi Moorthy, Zifan Shi

CoRR, 2013

Predicting NCAAB Match Outcomes Using ML Techniques - Some Results and Lessons Learned.

Albrecht Zimmermann, Sruthi Moorthy, Zifan Shi

Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2013 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2013), 2013