松软
发表于 2025-3-26 23:12:59
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FEIGN
发表于 2025-3-27 03:55:30
Schrittmacher und Defibrillatoren, output modalities, we propose to train a new PBR model that is tightly linked to a frozen RGB model using a novel cross-network communication paradigm. As the base RGB model is fully frozen, the proposed method retains its general performance and remains compatible with . IPAdapters for that base model.
畸形
发表于 2025-3-27 05:33:55
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学术讨论会
发表于 2025-3-27 10:24:22
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circuit
发表于 2025-3-27 14:48:05
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Fortify
发表于 2025-3-27 19:33:34
,SpatialFormer: Towards Generalizable Vision Transformers with Explicit Spatial Understanding,etter generalization, we employ a decoder-only overall architecture and propose a bilateral cross-attention block for efficient interactions between context and spatial tokens. SpatialFormer learns transferable image representations with explicit scene understanding, where the output spatial tokens
URN
发表于 2025-3-28 00:57:23
,OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving, obtain discrete scene tokens to describe the surrounding scenes. We then adopt a GPT-like spatial-temporal generative transformer to generate subsequent scene and ego tokens to decode the future occupancy and ego trajectory. Extensive experiments on nuScenes demonstrate the ability of OccWorld to e
aesthetic
发表于 2025-3-28 03:36:35
,MyVLM: Personalizing VLMs for User-Specific Queries,ng the language model to naturally integrate the target concept in its generated response. We apply our technique to BLIP-2 and LLaVA for personalized image captioning and further show its applicability for personalized visual question-answering. Our experiments demonstrate our ability to generalize
epicardium
发表于 2025-3-28 07:51:52
,Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment,s state-of-the-art results in terms of speed and accuracy. To our knowledge, this work is the first to address the scalability of BA without initialization opening new venues for initialization-free structure-from-motion.
UNT
发表于 2025-3-28 12:14:34
,Co-synthesis of Histopathology Nuclei Image-Label Pairs Using a Context-Conditioned Joint Diffusionlated text prompts to incorporate spatial and structural context information into the generation targets. Moreover, we enhance the granularity of our synthesized semantic labels by generating instance-wise nuclei labels using distance maps synthesized concurrently in conjunction with the images and