Search Results for author: Jiechong Song

Found 7 papers, 7 papers with code

DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing

1 code implementation CVPR 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.

Image Generation

Deep Physics-Guided Unrolling Generalization for Compressed Sensing

1 code implementation18 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.

Image Compressed Sensing Image Reconstruction

DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models

1 code implementation5 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.

Object

Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing

1 code implementation28 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.

Compressive Sensing

Optimization-Inspired Cross-Attention Transformer for Compressive Sensing

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.

Compressive Sensing

Large-capacity and Flexible Video Steganography via Invertible Neural Network

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).

Memory-Augmented Deep Unfolding Network for Compressive Sensing

1 code implementation19 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.

Compressive Sensing

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