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Found 6 papers, 2 papers with code
DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion
Accurate medical image segmentation is crucial for precise anatomical delineation.
TIE: Revolutionizing Text-based Image Editing for Complex-Prompt Following and High-Fidelity Editing
By providing the diffusion models with knowledge of the generated prompt and image mask, our models generate images with a superior understanding of instructions.
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models
Previous efforts in medical imaging synthesis have struggled with separating lesion information from background, resulting in low-quality backgrounds and limited control over the synthetic output.
LogicalDefender: Discovering, Extracting, and Utilizing Common-Sense Knowledge
Experiments show that our model has achieved better logical performance, and the extracted logical knowledge can be effectively applied to other scenarios.
OpsEval: A Comprehensive IT Operations Benchmark Suite for Large Language Models
Information Technology (IT) Operations (Ops), particularly Artificial Intelligence for IT Operations (AIOps), is the guarantee for maintaining the orderly and stable operation of existing information systems.
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings
Following this observation, we propose ECENet, a new segmentation paradigm, in which class embeddings are obtained and enhanced explicitly during interacting with multi-stage image features.
