Xingchang Huang

According to our database, Xingchang Huang authored at least 15 papers between 2017 and 2025.

Collaborative distances:

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

2025

Restereo: Diffusion stereo video generation and restoration.

Xingchang Huang, Ashish Kumar Singh, Florian Dubost, Cristina Nader Vasconcelos, Sakar Khattar, Liang Shi, Christian Theobalt, A. Cengiz Öztireli, Gurprit Singh

CoRR, June, 2025

Understanding noise correlations in generative models for graphics content generation and editing.

Xingchang Huang

PhD thesis, 2025

Demystifying noise: Role of randomness in generative AI: Demystifying randomness in generative AI.

Gurprit Singh, Xingchang Huang, Jente Vandersanden, Cengiz Öztireli, Niloy J. Mitra

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

Multiple Importance Sampling for Stochastic Gradient Estimation.

Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy J. Mitra, Gurprit Singh

Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods, 2025

Online Importance Sampling for Stochastic Gradient Optimization.

Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy J. Mitra, Gurprit Singh

Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods, 2025

Demystifying noise: The role of randomness in generative AI.

Gurprit Singh, Xingchang Huang, Jente Vandersanden, Cengiz Öztireli, Niloy J. Mitra

Proceedings of the 46th Annual Conference of the European Association for Computer Graphics, 2025

2024

Edge-preserving noise for diffusion models.

Jente Vandersanden, Sascha Holl, Xingchang Huang, Gurprit Singh

CoRR, 2024

Blue noise for diffusion models.

Xingchang Huang, Corentin Salaün, Cristina Nader Vasconcelos, Christian Theobalt, A. Cengiz Öztireli, Gurprit Singh

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

2023

Patternshop: Editing Point Patterns by Image Manipulation.

Xingchang Huang, Tobias Ritschel, Hans-Peter Seidel, Pooran Memari, Gurprit Singh

ACM Trans. Graph., August, 2023

Efficient Gradient Estimation via Adaptive Sampling and Importance Sampling.

Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy J. Mitra, Gurprit Singh

CoRR, 2023

2022

Deep Reconstruction of 3D Smoke Densities from Artist Sketches.

Byungsoo Kim, Xingchang Huang, Laura Wülfroth, Jingwei Tang, Guillaume Cordonnier, Markus Gross, Barbara Solenthaler

Comput. Graph. Forum, 2022

Point-Pattern Synthesis using Gabor and Random Filters.

Xingchang Huang, Pooran Memari, Hans-Peter Seidel, Gurprit Singh

Comput. Graph. Forum, 2022

2021

Facial Expression Recognition with Identity and Emotion Joint Learning.

Ming Li, Hao Xu, Xingchang Huang, Zhanmei Song, Xiaolin Liu, Xin Li

IEEE Trans. Affect. Comput., 2021

2020

Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks.

Zixuan Ke, Bing Liu, Xingchang Huang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2017

Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost.

Xingchang Huang, Yanghui Rao, Haoran Xie, Tak-Lam Wong, Fu Lee Wang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017