Zhanjie Zhang

Orcid: 0000-0002-8966-1328

According to our database1, Zhanjie Zhang authored at least 29 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Episodic Memory Representation for Long-form Video Understanding.
CoRR, August, 2025

Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation.
CoRR, August, 2025

Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts.
CoRR, July, 2025

U-StyDiT: Ultra-high Quality Artistic Style Transfer Using Diffusion Transformers.
CoRR, March, 2025

WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation.
CoRR, March, 2025

RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers.
CoRR, February, 2025

SPAST: Arbitrary style transfer with style priors via pre-trained large-scale model.
Neural Networks, 2025

DyArtbank: Diverse artistic style transfer via pre-trained stable diffusion and dynamic style prompt Artbank.
Knowl. Based Syst., 2025

LGAST: Towards high-quality arbitrary style transfer with local-global style learning.
Neurocomputing, 2025

VectorSketcher: Learning to create a vector-based free-hand sketch.
Eng. Appl. Artif. Intell., 2025

Unpaired Image Style Translations Using Mamba Adversarial Networks.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Rethink arbitrary style transfer with transformer and contrastive learning.
Comput. Vis. Image Underst., 2024

Rethink Arbitrary Style Transfer with Transformer and Contrastive Learning.
CoRR, 2024

Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Caster: Cartoon style transfer via dynamic cartoon style casting.
Neurocomputing, November, 2023

A Review of Forest Height Inversion by PolInSAR: Theory, Advances, and Perspectives.
Remote. Sens., August, 2023

Joint Optimization of Triangle Mesh, Material, and Light from Neural Fields with Neural Radiance Cache.
CoRR, 2023

DuDoINet: Dual-Domain Implicit Network for Multi-Modality MR Image Arbitrary-scale Super-Resolution.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Self-Reference Image Super-Resolution via Pre-trained Diffusion Large Model and Window Adjustable Transformer.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Gating PatternPyramid for diversified image style transfer.
J. Electronic Imaging, 2022

AesUST: Towards Aesthetic-Enhanced Universal Style Transfer.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022


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