1 code implementation • 4 Feb 2024 • Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, Jian Zhang
Large-scale Text-to-Image (T2I) diffusion models have revolutionized image generation over the last few years.
1 code implementation • 18 Jul 2023 • Bin Chen, Jiechong Song, Jingfen Xie, Jian Zhang
By absorbing the merits of both the model- and data-driven methods, deep physics-engaged learning scheme achieves high-accuracy and interpretable image reconstruction.
1 code implementation • 5 Jul 2023 • Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, Jian Zhang
Specifically, we construct classifier guidance based on the strong correspondence of intermediate features in the diffusion model.
1 code implementation • 28 Jun 2023 • Jiechong Song, Bin Chen, Jian Zhang
Deep unfolding network (DUN) that unfolds the optimization algorithm into a deep neural network has achieved great success in compressive sensing (CS) due to its good interpretability and high performance.
1 code implementation • CVPR 2023 • Jiechong Song, Chong Mou, Shiqi Wang, Siwei Ma, Jian Zhang
And, PGCA block achieves an enhanced information interaction, which introduces the inertia force into the gradient descent step through a cross attention block.
1 code implementation • CVPR 2023 • Chong Mou, Youmin Xu, Jiechong Song, Chen Zhao, Bernard Ghanem, Jian Zhang
For large-capacity, we present a reversible pipeline to perform multiple videos hiding and recovering through a single invertible neural network (INN).
1 code implementation • 19 Oct 2021 • Jiechong Song, Bin Chen, Jian Zhang
By understanding DUNs from the perspective of the human brain's memory processing, we find there exists two issues in existing DUNs.