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Found 7 papers, 4 papers with code
Path and Bone-Contour Regularized Unpaired MRI-to-CT Translation
To enhance the accuracy of translated bone structures, we introduce a trainable neural network to generate bone contours from MRI and implement mechanisms to directly and indirectly encourage the model to focus on bone contours and their adjacent regions.
PanoLlama: Generating Endless and Coherent Panoramas with Next-Token-Prediction LLMs
In this paper, we introduce PanoLlama, a novel framework that redefines panoramic image generation as a next-token prediction task.
Multi-Scale Diffusion: Enhancing Spatial Layout in High-Resolution Panoramic Image Generation
Diffusion models have recently gained recognition for generating diverse and high-quality content, especially in the domain of image synthesis.
TwinDiffusion: Enhancing Coherence and Efficiency in Panoramic Image Generation with Diffusion Models
Diffusion models have emerged as effective tools for generating diverse and high-quality content.
SketchBodyNet: A Sketch-Driven Multi-faceted Decoder Network for 3D Human Reconstruction
Compared with natural images, freehand sketches are much more flexible to depict various shapes, providing a high potential and valuable way for 3D human reconstruction.
Mutual gain adaptive network for segmenting brain stroke lesions
The main contribution is that 1) a mutual gain adaptive similarity (MGAS) block and 2) a global context-awareness (GCA) block.
CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images
Our insight is that feature maps of two CNNs trained respectively on GT and CT images should be similar on some metric space, because they both are used to describe the same objects for the same purpose.
