Nisha Huang

According to our database, Nisha Huang authored at least 26 papers between 2022 and 2026.

Collaborative distances:

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

2026

DealMaTe: Multi-Dimensional Material Transfer via Diffusion Transformer.

Nisha Huang, Yizhou Lin, Jie Guo, Xiu Li, Tong-Yee Lee, Zitong Yu

CoRR, May, 2026

MaTe: Images Are All You Need for Material Transfer via Diffusion Transformer.

Nisha Huang, Henglin Liu, Yizhou Lin, Kaer Huang, Chubin Chen, Jie Guo, Tong-Yee Lee, Xiu Li

CoRR, May, 2026

MoZoo:Unleashing Video Diffusion power in animal fur and muscle simulation.

Dongxia Liu, Jie Ma, Xiaochen Yang, Jiancheng Zhang, Bin Xia, Zhehan Kan, Nisha Huang, Jun Liang, Wenming Yang, Jin Li

CoRR, May, 2026

Bridging Cognitive Gap: Hierarchical Description Learning for Artistic Image Aesthetics Assessment.

Henglin Liu, Nisha Huang, Chang Liu, Jiangpeng Yan, Huijuan Huang, Jixuan Ying, Tong-Yee Lee, Pengfei Wan, Xiangyang Ji

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Taming Preference Mode Collapse via Directional Decoupling Alignment in Diffusion Reinforcement Learning.

Chubin Chen, Sujie Hu, Jiashu Zhu, Meiqi Wu, Jintao Chen, Yanxun Li, Nisha Huang, Chengyu Fang, Jiahong Wu, Xiangxiang Chu, Xiu Li

CoRR, December, 2025

MotionCrafter: Plug-and-Play Motion Guidance for Diffusion Models.

Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Pengfei Wan, Tong-Yee Lee, Changsheng Xu

IEEE Trans. Vis. Comput. Graph., October, 2025

CreativeSynth: Cross-Art-Attention for Artistic Image Synthesis With Multimodal Diffusion.

Nisha Huang, Weiming Dong, Yuxin Zhang, Fan Tang, Ronghui Li, Chongyang Ma, Xiu Li, Tong-Yee Lee, Changsheng Xu

IEEE Trans. Vis. Comput. Graph., October, 2025

S²-Guidance: Stochastic Self Guidance for Training-Free Enhancement of Diffusion Models.

Chubin Chen, Jiashu Zhu, Xiaokun Feng, Nisha Huang, Meiqi Wu, Fangyuan Mao, Jiahong Wu, Xiangxiang Chu, Xiu Li

CoRR, August, 2025

DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization.

Nisha Huang, Yuxin Zhang, Fan Tang, Chongyang Ma, Haibin Huang, Weiming Dong, Changsheng Xu

IEEE Trans. Neural Networks Learn. Syst., February, 2025

ArtCrafter: Text-Image Aligning Style Transfer via Embedding Reframing.

Nisha Huang, Kaer Huang, Yifan Pu, Jiangshan Wang, Jie Guo, Yiqiang Yan, Xiu Li

CoRR, January, 2025

ETCE: Efficient Two-Stage Concept Erasure for Text-to-Image Diffusion Models.

Qi-Ang Hu, Nisha Huang, Yizhou Lin, Jie Guo, Xiu Li, Tong-Yee Lee

Proceedings of the SIGGRAPH Asia 2025 Posters, 2025

PolyArt: Customizable Multilingual Movie Poster Generation via Diffusion Transformer.

Xin Fu, Nisha Huang, Junjie Li, Jie Guo, Xiu Li, Tong-Yee Lee

Proceedings of the SIGGRAPH Asia 2025 Posters, 2025

ICE: Intercede Concept Erasure in Text-to-Image Diffusion Models.

Yizhou Lin, Nisha Huang, Kaer Huang, Henglin Liu, Yiqiang Yan, Jie Guo, Tong-Yee Lee, Xiu Li

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Taming Rectified Flow for Inversion and Editing.

Jiangshan Wang, Junfu Pu, Zhongang Qi, Jiayi Guo, Yue Ma, Nisha Huang, Yuxin Chen, Xiu Li, Ying Shan

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

MaTe: Images are All You Need for Material Transfer via Diffusion Transformer.

Nisha Huang, Henglin Liu, Yizhou Lin, Kaer Huang, Chubin Chen, Jie Guo, Tong-Yee Lee, Xiu Li

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

2024

Style-A-Video: Agile Diffusion for Arbitrary Text-Based Video Style Transfer.

Nisha Huang, Yuxin Zhang, Weiming Dong

IEEE Signal Process. Lett., 2024

CreativeSynth: Creative Blending and Synthesis of Visual Arts based on Multimodal Diffusion.

Nisha Huang, Weiming Dong, Yuxin Zhang, Fan Tang, Ronghui Li, Chongyang Ma, Xiu Li, Changsheng Xu

CoRR, 2024

2023

ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models.

Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Oliver Deussen, Changsheng Xu

ACM Trans. Graph., December, 2023

MotionCrafter: One-Shot Motion Customization of Diffusion Models.

Yuxin Zhang, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu

CoRR, 2023

ProSpect: Expanded Conditioning for the Personalization of Attribute-aware Image Generation.

Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Oliver Deussen, Changsheng Xu

CoRR, 2023

Region-Aware Diffusion for Zero-shot Text-driven Image Editing.

Nisha Huang, Fan Tang, Weiming Dong, Tong-Yee Lee, Changsheng Xu

CoRR, 2023

Inversion-based Style Transfer with Diffusion Models.

Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu

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

2022

Inversion-Based Creativity Transfer with Diffusion Models.

Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu

CoRR, 2022

DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization.

Nisha Huang, Yuxin Zhang, Fan Tang, Chongyang Ma, Haibin Huang, Yong Zhang, Weiming Dong, Changsheng Xu

CoRR, 2022

Language-driven Diversified Image Retargeting.

Rui Wang, Nisha Huang, Fan Tang, Weiming Dong, Tong-Yee Lee

Proceedings of the SIGGRAPH Asia 2022 Posters, 2022

Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion.

Nisha Huang, Fan Tang, Weiming Dong, Changsheng Xu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022