Haoning Wu 「吴浩宁」

I am currently a 2nd-year PhD candidate of MediaBrain at Shanghai Jiao Tong University (SJTU), advised by Prof. Weidi Xie and Prof. Ya Zhang. I received my B.S. degree in EE (IEEE honor class) from SJTU in June 2022, advised by Prof. Xiaoyun Zhang and Prof. Ya Zhang.

I'm generally interested in computer vision, generative models, perception and AI4Science. Feel free to contact me via my email!!!

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News
  • [2024.04] I will attend CVPR 2024 in person. See you in Seattle!
  • [2024.04] I have passed my PhD Qualification Examination, and I am a PhD candidate now.
  • [2024.03] Start internship at Shanghai AI Laboratory as a research intern, Shanghai (on-site).
  • [2024.02] One paper (StoryGen) has been accepted by CVPR 2024.
  • [2023.12] Codes of SimpleSDM and SimpleSDM-Video have been made public for helping research about Diffusion.
  • [2023.10] One paper (NeRF-SDP) has been accepted by ACM Multimedia Asia 2023 and selected as Oral.
  • [2023.08] One paper (VFIAdapter) has been accepted by BMVC 2023 and selected as Oral.
Preprints

* denotes equal contribution, and † denotes corresponding author.

Publications

* denotes equal contribution, and † denotes corresponding author.

storygen Intelligent Grimm - Open-ended Visual Storytelling via Latent Diffusion Models
Chang Liu*, Haoning Wu*, Yujie Zhong, Xiaoyun Zhang, Yanfeng Wang†, Weidi Xie†
CVPR, 2024.   (NEW)
project page / arXiv / code

In this work, we focus on the task of generating a series of coherent image sequence based on a given storyline, denoted as open-ended visual storytelling.

vfi_adapter NeRF-SDP: Efficient Generalizable Neural Radiance Field with Scene Depth Perception
Qiuwen Wang, Shuai Guo, Haoning Wu, Rong Xie, Li Song†, Wenjun Zhang
ACM Multimedia Asia, 2023.   (Oral Presentation)
arXiv (soon) / code

In this paper, we propose a novel framework, termed as NeRF-SDP, to address the challenge of balancing rendering speed and quality in generalizable NeRF.
vfi_adapter Boost Video Frame Interpolation via Simple Motion Adaptation
Haoning Wu, Xiaoyun Zhang†, Weidi Xie, Ya Zhang, Yanfeng Wang†
BMVC, 2023.   (Oral Presentation)
project page / arXiv / code

In this paper, we propose a novel optimization-based VFI method that can adapt to unseen motions at test time and boost existing pre-trained models.
lar_sr LAR-SR: A Local Autoregressive Model for Image Super-Resolution
Baisong Guo*, Xiaoyun Zhang*†, Haoning Wu, Yu Wang, Ya Zhang, Yanfeng Wang†
CVPR, 2022.
paper / code

We propose a novel approach called LAR-SR for super-resolution based on a Local AutoRegessive module, which achieves superior performance compared with other generative models for SR.
Reviewer Service
2023 Computer Vision and Pattern Recognition (CVPR 2023)
2023 International Conference on Computer Vision (ICCV 2023)
2024 Computer Vision and Pattern Recognition (CVPR 2024)
2024 European Conference on Computer Vision (ECCV 2024)
2024 ACM Multimedia (ACMMM 2024)
Awards

2020-2021 China National Scholarship
2020-2021 School Scholarship B Prize
2020-2021 Outstanding Student Leader of Shanghai Jiao Tong University
2019-2020 School Scholarship C Prize
2019-2020 Three Good Student of Shanghai Jiao Tong University

Updated in April. 2024

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