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Found 5 papers, 3 papers with code
PrimeComposer: Faster Progressively Combined Diffusion for Image Composition with Attention Steering
This prior information is encoded into the attention weights, which are then integrated into the self-attention layers of the generator to guide the synthesis process.
Enhancing Object Coherence in Layout-to-Image Synthesis
Layout-to-image synthesis is an emerging technique in conditional image generation.
High-fidelity Person-centric Subject-to-Image Synthesis
Specifically, we first develop two specialized pre-trained diffusion models, i. e., Text-driven Diffusion Model (TDM) and Subject-augmented Diffusion Model (SDM), for scene and person generation, respectively.
GA-HQS: MRI reconstruction via a generically accelerated unfolding approach
Deep unfolding networks (DUNs) are the foremost methods in the realm of compressed sensing MRI, as they can employ learnable networks to facilitate interpretable forward-inference operators.
Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization
By taking both advantages of image domain and transform domain in a general framework, we propose a sparsity transform learning and weighted singular values minimization method (STLWSM) for IDN problems.
