清真寺
发表于 2025-3-28 16:23:27
Ursus-Nikolaus Riede,Martin Wernere that allows us to handle various generation tasks with varying degrees of conditioning with a single model. Empirically, LayoutFlow performs on par with state-of-the-art models while being significantly faster. The project page, including our code, can be found at ..
失误
发表于 2025-3-28 19:05:55
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哭得清醒了
发表于 2025-3-29 01:25:12
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MILL
发表于 2025-3-29 05:50:31
,Asynchronous Large Language Model Enhanced Planner for Autonomous Driving, avenues for enhancing the interpretability and controllability of motion planning. Nevertheless, LLM-based planners continue to encounter significant challenges, including elevated resource consumption and extended inference times, which pose substantial obstacles to practical deployment. In light
ingrate
发表于 2025-3-29 09:47:37
,Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation,jects when generating images of varying sizes due to single-scale training data. Adapting large pre-trained diffusion models to higher resolution demands substantial computational and optimization resources, yet achieving generation capabilities comparable to low-resolution models remains challengin
Basal-Ganglia
发表于 2025-3-29 13:07:30
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删除
发表于 2025-3-29 17:13:28
,Making Large Language Models Better Planners with Reasoning-Decision Alignment,lity. Inspired by the knowledge-driven nature of human driving, recent approaches explore the potential of large language models (LLMs) to improve understanding and decision-making in traffic scenarios. They find that the pretrain-finetune paradigm of LLMs on downstream data with the Chain-of-Though
Truculent
发表于 2025-3-29 22:22:44
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CRACY
发表于 2025-3-30 02:19:11
,Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization,t domains. This paper explores DG through the lens of bias-variance decomposition, uncovering that test errors in DG predominantly arise from cross-domain bias and variance. Inspired by this insight, we introduce a Representation Enhancement-Stabilization (RES) framework, comprising a Representation
草率女
发表于 2025-3-30 05:43:53
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