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

deficiency

,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 (.).

Rebate

,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

地牢

,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.

Self-Help-Group

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

Commonplace

LARK

,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

凹處

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

opprobrious

,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

弄臟

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

圖表證明