Hanyu Wang

Hanyu Wang 王涵玉

Research Scientist at Luma AI

Foundation Model · Generative AI · Computer Vision

About

I am a Research Scientist at Luma AI. I received my Ph.D. in Computer Science from the University of Maryland, College Park, where I was advised by Prof. Abhinav Shrivastava.

My research focuses on computer vision and generative AI, with an emphasis on visual content generation under various conditions. My long-term goal is to build multimodal foundation models that unify understanding and generation of different data types, enabling cross-modal learning and mutual enhancement across modalities.

Selected Publications

NeRV-Diffusion

NeRV-Diffusion: Diffuse Implicit Neural Representations for Video Synthesis

Yixuan Ren, Hanyu Wang, Hao Chen, Bo He, Abhinav Shrivastava

ICLR 2026

Project arXiv Paper

Bridge

Growing Visual Generative Capacity for Pre-Trained MLLMs

Hanyu Wang^*, Jiaming Han^*, Ziyan Yang, Qi Zhao, Shanchuan Lin, Xiangyu Yue, Abhinav Shrivastava, Zhenheng Yang, Hao Chen

arXiv, 2025

Project arXiv Code

Tar

Vision as a Dialect: Unifying Visual Understanding & Generation via Text-Aligned Representations

Jiaming Han, Hao Chen, Yang Zhao, Hanyu Wang, Qi Zhao, Ziyan Yang, Hao He, Xiangyu Yue, Lu Jiang

NeurIPS 2025

Project arXiv Code

LARP

LARP: Tokenizing Videos 🎬 with a Learned Autoregressive Generative Prior 🚀

Hanyu Wang, Saksham Suri, Yixuan Ren, Hao Chen, Abhinav Shrivastava

ICLR 2025 Oral

Project arXiv Code

MMIST

Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion

Hanyu Wang, Pengxiang Wu, Kevin Dela Rosa, Chen Wang, Abhinav Shrivastava

WACV 2024

Project arXiv Code

DPG

Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint

Haoyue Tang, Tian Xie, Aosong Feng, Hanyu Wang, Chenyang Zhang, Yang Bai

AISTATS 2024

Project arXiv Code

Chop & Learn

Chop & Learn: Recognizing and Generating Object-State Compositions

Nirat Saini^*, Hanyu Wang^*, Archana Swaminathan, Vinoj Jayasundara, Bo He, Kamal Gupta, Abhinav Shrivastava

ICCV 2023

Project arXiv

D-NeRV

Towards Scalable Neural Representation for Diverse Videos

Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava

CVPR 2023

Project arXiv Code

NIRVANA

NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks

Shishira R Maiya^*, Sharath Girish^*, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava

CVPR 2023

Project arXiv

Neural SFC

Neural Space-filling Curves

Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava

ECCV 2022

Project arXiv Code

NeRV

NeRV: Neural Representations for Videos

Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava

NeurIPS 2021

Project arXiv Code

Shape Descriptors

Learning local shape descriptors for computing non-rigid dense correspondence

Jianwei Guo, Hanyu Wang, Zhanglin Cheng, Xiaopeng Zhang, Dong-Ming Yan

Computational Visual Media, 2020

Paper

3D Keypoint Descriptors

Learning 3D keypoint descriptors for non-rigid shape matching

Hanyu Wang^*, Jianwei Guo^*, Dong-Ming Yan, Weize Quan, Xiaopeng Zhang

ECCV 2018

Paper