Lingting Zhu

According to our database, Lingting Zhu authored at least 35 papers between 2020 and 2026.

Collaborative distances:

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

2026

Generative Enhancement for 3D Medical Images.

Lingting Zhu, Noel Codella, Dongdong Chen, Zhenchao Jin, Lu Yuan, Lequan Yu

Int. J. Comput. Vis., March, 2026

Cross-Scale Pansharpening via ScaleFormer and the PanScale Benchmark.

Ke Cao, Xuanhua He, Xueheng Li, Lingting Zhu, Yingying Wang, Ao Ma, Zhanjie Zhang, Man Zhou, Chengjun Xie, Jie Zhang

CoRR, March, 2026

AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer.

Lingting Zhu, Shengju Qian, Haidi Fan, Jiayu Dong, Zhenchao Jin, Siwei Zhou, Gen Dong, Xin Wang, Lequan Yu

CoRR, February, 2026

MuMA: 3D PBR Texturing via Multi-Channel Multi-View Generation and Albedo Post-Processing.

Lingting Zhu, Jingrui Ye, Runze Zhang, Zeyu Hu, Yingda Yin, Lanjiong Li, Jinnan Chen, Shengju Qian, Xin Wang, Qingmin Liao, Lequan Yu

IEEE Trans. Image Process., 2026

Multi-contrast low-field MRI acceleration with k-space progressive learning and image-space hybrid attention fusion.

Xiaohan Xing, Qi Chen, Lequan Yu, Liang Qiu, Lingting Zhu, Lei Xing, Lianli Liu

Medical Image Anal., 2026

2025

ReVSeg: Incentivizing the Reasoning Chain for Video Segmentation with Reinforcement Learning.

Yifan Li, Yingda Yin, Lingting Zhu, Weikai Chen, Shengju Qian, Xin Wang, Yanwei Fu

CoRR, December, 2025

CaliTex: Geometry-Calibrated Attention for View-Coherent 3D Texture Generation.

Chenyu Liu, Hongze Chen, Jingzhi Bao, Lingting Zhu, Runze Zhang, Weikai Chen, Zeyu Hu, Yingda Yin, Keyang Luo, Xin Wang

CoRR, November, 2025

LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context.

Jingzhi Bao, Hongze Chen, Lingting Zhu, Chenyu Liu, Runze Zhang, Keyang Luo, Zeyu Hu, Weikai Chen, Yingda Yin, Xin Wang, Zehong Lin, Jun Zhang, Xiaoguang Han

CoRR, November, 2025

V-ReasonBench: Toward Unified Reasoning Benchmark Suite for Video Generation Models.

Yang Luo, Xuanlei Zhao, Baijiong Lin, Lingting Zhu, Liyao Tang, Yuqi Liu, Ying-Cong Chen, Shengju Qian, Xin Wang, Yang You

CoRR, November, 2025

Large Material Gaussian Model for Relightable 3D Generation.

Jingrui Ye, Lingting Zhu, Runze Zhang, Zeyu Hu, Yingda Yin, Lanjiong Li, Lequan Yu, Qingmin Liao

CoRR, September, 2025

Improving Foundation Model for Endoscopy Video Analysis via Representation Learning on Long Sequences.

Zhao Wang, Chang Liu, Lingting Zhu, Tongtong Wang, Shaoting Zhang, Qi Dou

IEEE J. Biomed. Health Informatics, May, 2025

StyleAR: Customizing Multimodal Autoregressive Model for Style-Aligned Text-to-Image Generation.

Yi Wu, Lingting Zhu, Shengju Qian, Lei Liu, Wandi Qiao, Lequan Yu, Bin Li

CoRR, May, 2025

DanceGRPO: Unleashing GRPO on Visual Generation.

Zeyue Xue, Jie Wu, Yu Gao, Fangyuan Kong, Lingting Zhu, Mengzhao Chen, Zhiheng Liu, Wei Liu, Qiushan Guo, Weilin Huang, Ping Luo

CoRR, May, 2025

GarmentX: Autoregressive Parametric Representations for High-Fidelity 3D Garment Generation.

Jingfeng Guo, Jinnan Chen, Weikai Chen, Zhenyu Sun, Lanjiong Li, Baozhu Zhao, Lingting Zhu, Xin Wang, Qi Liu

CoRR, April, 2025

MuMA: 3D PBR Texturing via Multi-Channel Multi-View Generation and Agentic Post-Processing.

Lingting Zhu, Jingrui Ye, Runze Zhang, Zeyu Hu, Yingda Yin, Lanjiong Li, Jinnan Chen, Shengju Qian, Xin Wang, Qingmin Liao, Lequan Yu

CoRR, March, 2025

Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation.

Yi Wu, Lingting Zhu, Lei Liu, Wandi Qiao, Ziqiang Li, Lequan Yu, Bin Li

CoRR, March, 2025

Unleash the Power of State Space Model for Whole Slide Image With Local Aware Scanning and Importance Resampling.

Yanyan Huang, Weiqin Zhao, Yu Fu, Lingting Zhu, Lequan Yu

IEEE Trans. Medical Imaging, February, 2025

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance.

Zhao Wang, Hao Wen, Lingting Zhu, Chenming Shang, Yujiu Yang, Qi Dou

CoRR, February, 2025

Multi-Sensor Learning Enables Information Transfer Across Different Sensory Data and Augments Multi-Modality Imaging.

Lingting Zhu, Yizheng Chen, Lianli Liu, Lei Xing, Lequan Yu

IEEE Trans. Pattern Anal. Mach. Intell., January, 2025

AssetDropper: Asset Extraction via Diffusion Models with Reward-Driven Optimization.

Lanjiong Li, Guanhua Zhao, Lingting Zhu, Zeyu Cai, Lequan Yu, Jian Zhang, Zeyu Wang

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

Generalizable Human Gaussians from Single-View Image.

Jinnan Chen, Chen Li, Jianfeng Zhang, Lingting Zhu, Buzhen Huang, Hanlin Chen, Gim Hee Lee

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Dynamic Agent Framework for Large Language Model Reasoning for Medical and Visual Question Answering.

Ziyan Xiao, Ruiyang Zhang, Yushi Feng, Lingting Zhu, Liang Peng, Lequan Yu

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

MAR-3D: Progressive Masked Auto-regressor for High-Resolution 3D Generation.

Jinnan Chen, Lingting Zhu, Zeyu Hu, Shengju Qian, Yugang Chen, Xin Wang, Gim Hee Lee

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

Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting.

Lingting Zhu, Guying Lin, Jinnan Chen, Xinjie Zhang, Zhenchao Jin, Zhao Wang, Lequan Yu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

ToolBridge: An Open-Source Dataset to Equip LLMs with External Tool Capabilities.

Zhenchao Jin, Mengchen Liu, Dongdong Chen, Lingting Zhu, Yunsheng Li, Lequan Yu

CoRR, 2024

Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting.

Lingting Zhu, Zhao Wang, Zhenchao Jin, Guying Lin, Lequan Yu

CoRR, 2024

CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects.

Zhao Wang, Aoxue Li, Enze Xie, Lingting Zhu, Yong Guo, Qi Dou, Zhenguo Li

CoRR, 2024

Low-to-High Frequency Progressive K-Space Learning for MRI Reconstruction.

Xiaohan Xing, Liang Qiu, Lequan Yu, Lingting Zhu, Lei Xing, Lianli Liu

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting.

Lingting Zhu, Zhao Wang, Jiahao Cui, Zhenchao Jin, Guying Lin, Lequan Yu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024

HFGS: 4D Gaussian Splatting with Emphasis on Spatial and Temporal High-Frequency Components for Endoscopic Scene Reconstruction.

Haoyu Zhao, Xingyue Zhao, Lingting Zhu, Weixi Zheng, Yongchao Xu

Proceedings of the 35th British Machine Vision Conference, 2024

2023

IDRNet: Intervention-Driven Relation Network for Semantic Segmentation.

Zhenchao Jin, Xiaowei Hu, Lingting Zhu, Luchuan Song, Li Yuan, Lequan Yu

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

Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis.

Lingting Zhu, Zeyue Xue, Zhenchao Jin, Xian Liu, Jingzhen He, Ziwei Liu, Lequan Yu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation.

Lingting Zhu, Xian Liu, Xuanyu Liu, Rui Qian, Ziwei Liu, Lequan Yu

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

Cheap Lunch for Medical Image Segmentation by Fine-Tuning SAM on Few Exemplars.

Weijia Feng, Lingting Zhu, Lequan Yu

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2023

2020

Machine Learning-Based Resource Optimization for D2D Communication Underlaying Networks.

Lingting Zhu, Chonghe Liu, Jiantao Yuan, Guanding Yu

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020