Jialiang Wang

According to our database, Jialiang Wang authored at least 33 papers between 2017 and 2026.

Collaborative distances:

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

2026

Think in Strokes, Not Pixels: Process-Driven Image Generation via Interleaved Reasoning.

Lei Zhang, Junjiao Tian, Zhipeng Fan, Kunpeng Li, Jialiang Wang, Weifeng Chen, Markos Georgopoulos, Felix Juefei-Xu, Yuxiang Bao, Julian J. McAuley, Manling Li, Zecheng He

CoRR, April, 2026

UniT: Unified Multimodal Chain-of-Thought Test-time Scaling.

Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan, Ziqi Huang, Animesh Sinha, Xiaoliang Dai, Jialiang Wang, Zecheng He, Jianwei Yang, Chunyuan Li, Junzhe Sun, Chu Wang, Serena Yeung-Levy, Felix Juefei-Xu

CoRR, February, 2026

2025

PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation.

Yuanhao Cai, Kunpeng Li, Menglin Jia, Jialiang Wang, Junzhe Sun, Feng Liang, Weifeng Chen, Felix Juefei-Xu, Chu Wang, Ali K. Thabet, Xiaoliang Dai, Xuan Ju, Alan L. Yuille, Ji Hou

CoRR, December, 2025

Exploring MLLM-Diffusion Information Transfer with MetaCanvas.

Han Lin, Xichen Pan, Ziqi Huang, Ji Hou, Jialiang Wang, Weifeng Chen, Zecheng He, Felix Juefei-Xu, Junzhe Sun, Zhipeng Fan, Ali K. Thabet, Mohit Bansal, Chu Wang

CoRR, December, 2025

Improving Chain-of-Thought Efficiency for Autoregressive Image Generation.

Zeqi Gu, Markos Georgopoulos, Xiaoliang Dai, Marjan Ghazvininejad, Chu Wang, Felix Juefei-Xu, Kunpeng Li, Yujun Shi, Zecheng He, Zijian He, Jiawei Zhou, Abe Davis, Jialiang Wang

CoRR, October, 2025

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models.

Xu Ma, Peize Sun, Haoyu Ma, Hao Tang, Chih-Yao Ma, Jialiang Wang, Kunpeng Li, Xiaoliang Dai, Yujun Shi, Xuan Ju, Yushi Hu, Artsiom Sanakoyeu, Felix Juefei-Xu, Ji Hou, Junjiao Tian, Tao Xu, Tingbo Hou, Yen-Cheng Liu, Zecheng He, Zijian He, Matt Feiszli, Peizhao Zhang, Peter Vajda, Sam S. Tsai, Yun Fu

CoRR, April, 2025

Transfer between Modalities with MetaQueries.

Xichen Pan, Satya Narayan Shukla, Aashu Singh, Zhuokai Zhao, Shlok Kumar Mishra, Jialiang Wang, Zhiyang Xu, Jiuhai Chen, Kunpeng Li, Felix Juefei-Xu, Ji Hou, Saining Xie

CoRR, April, 2025

Learnings from Scaling Visual Tokenizers for Reconstruction and Generation.

Philippe Hansen-Estruch, David Yan, Ching-Yao Chung, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen

CoRR, January, 2025

Text-to-Image Generation Post-Training with Pixel-Space Loss.

Christina Zhang, Simran Motwani, Matthew Yu, Ji Hou, Felix Juefei-Xu, Sam S. Tsai, Peter Vajda, Zijian He, Jialiang Wang

Proceedings of the 3rd International Workshop on Rich Media With Generative AI, 2025

Learnings from Scaling Visual Tokenizers for Reconstruction and Generation.

Philippe Hansen-Estruch, David Yan, Ching-Yao Chuang, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity.

Hongjie Wang, Chih-Yao Ma, Yen-Cheng Liu, Ji Hou, Tao Xu, Jialiang Wang, Felix Juefei-Xu, Yaqiao Luo, Peizhao Zhang, Tingbo Hou, Peter Vajda, Niraj K. Jha, Xiaoliang Dai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

DirectorLLM for Human-Centric Video Generation.

Kunpeng Song, Tingbo Hou, Zecheng He, Haoyu Ma, Jialiang Wang, Animesh Sinha, Sam S. Tsai, Yaqiao Luo, Xiaoliang Dai, Li Chen, Xide Xia, Peizhao Zhang, Peter Vajda, Ahmed Elgammal, Felix Juefei-Xu

CoRR, 2024

Pixel-Space Post-Training of Latent Diffusion Models.

Christina Zhang, Simran Motwani, Matthew Yu, Ji Hou, Felix Juefei-Xu, Sam S. Tsai, Peter Vajda, Zijian He, Jialiang Wang

CoRR, 2024

An Analysis on Quantizing Diffusion Transformers.

Yuewei Yang, Jialiang Wang, Xiaoliang Dai, Peizhao Zhang, Hongbo Zhang

CoRR, 2024

Cache Me if You Can: Accelerating Diffusion Models through Block Caching.

Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ControlRoom3D: Room Generation Using Semantic Proxy Rooms.

Jonas Schult, Sam S. Tsai, Lukas Höllein, Bichen Wu, Jialiang Wang, Chih-Yao Ma, Kunpeng Li, Xiaofang Wang, Felix Wimbauer, Zijian He, Peizhao Zhang, Bastian Leibe, Peter Vajda, Ji Hou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis.

Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Efficient Quantization Strategies for Latent Diffusion Models.

Yuewei Yang, Xiaoliang Dai, Jialiang Wang, Peizhao Zhang, Hongbo Zhang

CoRR, 2023

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

Xiaoliang Dai, Ji Hou, Chih-Yao Ma, Sam S. Tsai, Jialiang Wang, Rui Wang, Peizhao Zhang, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yi Wen, Yiwen Song, Roshan Sumbaly, Vignesh Ramanathan, Zijian He, Peter Vajda, Devi Parikh

CoRR, 2023

NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection.

Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

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

A Practical Stereo Depth System for Smart Glasses.

Jialiang Wang, Daniel Scharstein, Akash Bapat, Kevin Blackburn-Matzen, Matthew Yu, Jonathan Lehman, Suhib Alsisan, Yanghan Wang, Sam S. Tsai, Jan-Michael Frahm, Zijian He, Peter Vajda, Michael F. Cohen, Matt Uyttendaele

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

Consistent Direct Time-of-Flight Video Depth Super-Resolution.

Zhanghao Sun, Wei Ye, Jinhui Xiong, Gyeongmin Choe, Jialiang Wang, Shuochen Su, Rakesh Ranjan

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

2022

Toward Practical Monocular Indoor Depth Estimation.

Cho-Ying Wu, Jialiang Wang, Michael Hall, Ulrich Neumann, Shuochen Su

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Toward Practical Self-Supervised Monocular Indoor Depth Estimation.

Cho-Ying Wu, Jialiang Wang, Michael Hall, Ulrich Neumann, Shuochen Su

CoRR, 2021

FBNetV5: Neural Architecture Search for Multiple Tasks in One Run.

Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda

CoRR, 2021

Level Set Binocular Stereo with Occlusions.

Jialiang Wang, Todd E. Zickler

CoRR, 2021

Level Set Stereo For Cooperative Grouping With Occlusion.

Jialiang Wang, Todd E. Zickler

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Improving Deep Stereo Network Generalization with Geometric Priors.

Jialiang Wang, Varun Jampani, Deqing Sun, Charles T. Loop, Stan Birchfield, Jan Kautz

CoRR, 2020

Layered Stereo by Cooperative Grouping with Occlusion.

Jialiang Wang, Todd E. Zickler

CoRR, 2020

Interpreting Robust Optimization via Adversarial Influence Functions.

Zhun Deng, Cynthia Dwork, Jialiang Wang, Linjun Zhang

Proceedings of the 37th International Conference on Machine Learning, 2020

A Lighting-Invariant Point Processor for Shading.

Kathryn Heal, Jialiang Wang, Steven J. Gortler, Todd E. Zickler

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Local Detection of Stereo Occlusion Boundaries.

Jialiang Wang, Todd E. Zickler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Toward Perceptually-Consistent Stereo: A Scanline Study.

Jialiang Wang, Daniel Glasner, Todd E. Zickler

Proceedings of the IEEE International Conference on Computer Vision, 2017