You can also find my publications on Google Scholar.
2026
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SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices
D. Hu, A. Gupta, M. Gabidolla, and 12 more authors
arXiv preprint, 2026
2025
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SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training
D. Hu, J. Chen, X. Huang, and 16 more authors
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
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Stochastic Diffusion: A Diffusion Based Model for Stochastic Time Series Forecasting
Y. Liu, S. Wijewickrema, D. Hu, and 3 more authors
In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025
2024
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In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment
D. Hu, H. Fu, J. Guo, and 5 more authors
In Advances in Neural Information Processing Systems (NeurIPS), 2024
2023
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Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering
D. Hu, Z. Zhang, T. Hou, and 3 more authors
In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
2022
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Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression
D. Hu, L. Peng, T. Chu, and 4 more authors
In Proceedings of the European Conference on Computer Vision (ECCV), 2022
Stochastic Diffusion: A Diffusion Based Model for Stochastic Time Series ForecastingIn Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025
