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Found 2 papers, 2 papers with code
TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing
Previous approaches have focused on either fine-tuning pre-trained T2I models on specific datasets to generate certain kinds of images (e. g., with a specific object or person), or on optimizing the weights, text prompts, and/or learning features for each input image in an attempt to coax the image generator to produce the desired result.
Attention-Based Multimodal Image Matching
We propose an attention-based approach for multimodal image patch matching using a Transformer encoder attending to the feature maps of a multiscale Siamese CNN.
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Multimodal Patch Matching
on VisNir
