Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3). http://academicpages.github.io/files/paper3.pdf
Wonder3D++: Cross-Domain Diffusion for High-Fidelity 3D Generation From a Single Image
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
Recommended citation: Y Yang, X Long, Z Dou, C Lin, Y Liu, Q Yan, Y Ma, H Wang, Z Wu, W Yin. (2025). "Wonder3D++: Cross-Domain Diffusion for High-Fidelity 3D Generation From a Single Image." TPAMI 2025. wonder3d-cross-domain-diffusion-for-high-fidelity-3d-generation-from-a-single-image
Auto-Regressively Generating Multi-View Consistent Images
Published in ICCV 2025, 2025
Recommended citation: JK Hu, Y Yang, J Liu, J Wu, C Zhao, Y Lu. (2025). "Auto-Regressively Generating Multi-View Consistent Images." arXiv preprint arXiv:2506.18527. https://arxiv.org/abs/2506.18527
EchoMotion: Unified Human Video and Motion Generation via Dual-Modality Diffusion Transformer
Published in ICLR 2026, 2025
Recommended citation: Y Yang, H Sheng, S Cai, J Lin, J Wang, B Deng, J Lu, H Wang, J Year. (2025). "EchoMotion: Unified Human Video and Motion Generation via Dual-Modality Diffusion Transformer." arXiv preprint arXiv:2512.18814. https://arxiv.org/abs/2512.18814
Mvreward: Better aligning and evaluating multi-view diffusion models with human preferences
Published in Proceedings of the AAAI Conference on Artificial Intelligence 39 (8), 7898-7906, 2025
Recommended citation: W Wang, H Xu, Y Yang, Z Liu, J Meng, H Wang. (2025). "Mvreward: Better aligning and evaluating multi-view diffusion models with human preferences." AAAI 2025. https://arxiv.org/abs/2412.06614
NOVA3D: Normal Aligned Video Diffusion Model for Single Image to 3D Generation
Published in ICME 2025 Best Paper Final List, 2025
Recommended citation: Y Yang, P Li, Y Zhang, J Lu, X He, M Qin, W Wang, H Wang. (2025). "NOVA3D: Normal Aligned Video Diffusion Model for Single Image to 3D Generation." arXiv preprint arXiv:2506.07698. https://arxiv.org/abs/2506.07698
Target-Balanced Score Distillation
Published in AAAI 2026, 2025
Recommended citation: Z Xu, Q Wang, Y Yang, L Zhang, Z Liang, Y Li. (2025). "Target-Balanced Score Distillation." arXiv preprint arXiv:2511.11710. https://arxiv.org/abs/2511.11710
Wonder3D++: Cross-Domain Diffusion for High-Fidelity 3D Generation From a Single Image
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
Recommended citation: Y Yang, X Long, Z Dou, C Lin, Y Liu, Q Yan, Y Ma, H Wang, Z Wu, W Yin. (2025). "Wonder3D++: Cross-Domain Diffusion for High-Fidelity 3D Generation From a Single Image." TPAMI 2025. wonder3d-cross-domain-diffusion-for-high-fidelity-3d-generation-from-a-single-image
Wonder3D++: Cross-Domain Diffusion for High-Fidelity 3D Generation From a Single Image
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
Recommended citation: Y Yang, X Long, Z Dou, C Lin, Y Liu, Q Yan, Y Ma, H Wang, Z Wu, W Yin. (2025). "Wonder3D++: Cross-Domain Diffusion for High-Fidelity 3D Generation From a Single Image." TPAMI 2025. wonder3d-cross-domain-diffusion-for-high-fidelity-3d-generation-from-a-single-image
Wonder3D++: Cross-Domain Diffusion for High-Fidelity 3D Generation From a Single Image
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
Recommended citation: Y Yang, X Long, Z Dou, C Lin, Y Liu, Q Yan, Y Ma, H Wang, Z Wu, W Yin. (2025). "Wonder3D++: Cross-Domain Diffusion for High-Fidelity 3D Generation From a Single Image." TPAMI 2025. wonder3d-cross-domain-diffusion-for-high-fidelity-3d-generation-from-a-single-image
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.