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Intrinsic Population Dynamics are a Neuronal Substrate for Visual Attention
Perception results from a dynamic interplay between the feedforward processing of sensory stimuli and intrinsic neural activity, which is often dismissed as noise. To tailor perceptual processes to the organism's current needs on a continuous, moment-to-moment basis, intrinsic dynamics - rather than just being noise - have been suggested to reflect prior expectations, task demands, and attentional focus. Here, we identify a novel signature of attentive state in which intrinsic, collective...
Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting
arXiv:2606.03792v1 Announce Type: new Abstract: Low-Rank Adaptation (LoRA) successfully enables personalization in text-to-image generation by adapting pre-trained diffusion models to specific visual concepts and styles. However, extending such models to multi-concept customization remains challenging. Naively combining multiple LoRA weights or their outputs often leads to interference among concepts, resulting in degraded visual quality and reduced fidelity to the reference images of...
OpenCompass: A Universal Evaluation Platform for Large Language Models
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CARES: Context-Aware Resolution Selector for VLMs
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Gooey: A GPU-accelerated UI framework for Zig
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UniVerse: A Unified Modulation Framework for Segmentation-Free,Disentangled Multi-Concept Personalization
Announce Type: replace Abstract: Personalized visual understanding has advanced significantly, yet existing approaches struggle to localize and extract specific concepts when input images contain multiple objects. Many prior methods rely heavily on segmentation-based supervision or exhibit poor compositional generalization, limiting their ability to accurately disentangle and manipulate individual concepts. In this work, we propose UniVerse, a Unified Modulation Framework for...
Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models
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PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifiers
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