Titlebook: Computer Vision – ECCV 2024; 18th European Confer Aleš Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

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,MedRAT: Unpaired Medical Report Generation via Auxiliary Tasks,l information stored in a knowledge graph. Our model, named . surpasses previous state-of-the-art methods, demonstrating the feasibility of generating comprehensive medical reports without the need for paired data or external tools. Our code is publicly available (.).

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,PoseEmbroider: Towards a 3D, Visual, Semantic-Aware Human Pose Representation, a retrieval fashion, which can take as input any combination of the aforementioned modalities. When composing modalities, it outperforms a standard multi-modal alignment retrieval model, making it possible to sort out partial information (. image with the lower body occluded). We showcase the poten

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,A Comparative Study of Image Restoration Networks for General Backbone Network Design,esign a new general image restoration backbone network, X-Restormer. Extensive experiments demonstrate that X-Restormer possesses good task generality and achieves state-of-the-art performance across a variety of tasks.

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HoloADMM: High-Quality Holographic Complex Field Recovery,n. Our results indicate a substantial improvement in reconstruction quality over existing methods and demonstrate HoloADMM’s effective adaptation to real holographic data captured by our Digital in-line Holographic Microscope (DIHM). This work not only advances holographic imaging techniques but als

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,Towards Open-World Object-Based Anomaly Detection via Self-Supervised Outlier Synthesis,tures that are classified by an OoD head. Our approach empowers our overall object detector architecture to learn anomaly-aware feature representations without relying on class labels, hence enabling truly open-world object anomaly detection. Empirical validation of our approach demonstrates its eff

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GroundUp: Rapid Sketch-Based 3D City Massing,r perspective sketches .. Second, we use depth cues derived from the perspective sketch as a condition to our diffusion model, which ultimately completes the geometry in a top-down view. Thus, our final 3D geometry is represented as a heightfield, allowing users to construct the city .. The code, da

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,Guide-and-Rescale: Self-guidance Mechanism for Effective Tuning-Free Real Image Editing,ng mechanism that allows to preserve noise distribution by balancing the norms of classifier-free guidance and our proposed guiders during generation. Such a guiding approach does not require fine-tuning the diffusion model and exact inversion process. As a result, the proposed method provides a fas

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DataDream: Few-Shot Guided Dataset Generation,ream image classification over previous approaches on a large variety of datasets. We demonstrate the efficacy of DataDream through extensive experiments, surpassing state-of-the-art classification accuracy with few-shot data across 7 out of 10 datasets, while being competitive on the other 3. Addit

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