BOAST 发表于 2025-3-23 11:25:33
,Generating Physically Realistic and Directable Human Motions from Multi-modal Inputs,ibits the key capabilities of . to out-of-sync input commands, . elements from multiple motion sequences, and . unspecified parts of motions from sparse multimodal input. We demonstrate these key capabilities for an MHC learned over a dataset of 87 diverse skills and showcase different multi-modal u吹牛需要艺术 发表于 2025-3-23 17:03:52
http://reply.papertrans.cn/25/2424/242330/242330_12.pngFORGO 发表于 2025-3-23 19:38:51
,PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology,evel performance benchmark for PathMMU. We conduct extensive evaluations, including zero-shot assessments of 14 open-sourced and 4 closed-sourced LMMs and their robustness to image corruption. We also fine-tune representative LMMs to assess their adaptability to PathMMU. The empirical findings indicparsimony 发表于 2025-3-24 01:36:36
,RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios,amples in a gradient-free way, which may originate from templates or tagged scenarios. This in-context learning framework endows versatile generative capabilities, including the ability to edit scenarios, compose various behaviors, and produce critical scenarios. Evaluations show that RealGen offersgerrymander 发表于 2025-3-24 03:55:58
,ADen: Adaptive Density Representations for Sparse-View Camera Pose Estimation,re space of rotation uniformly by brute-force. This leads to an inevitable trade-off between high sample density, which improves model precision, and sample efficiency that determines the runtime. In this paper, we propose ADen to unify the two frameworks by employing a generator and a discriminator债务 发表于 2025-3-24 10:19:27
http://reply.papertrans.cn/25/2424/242330/242330_16.pngpacifist 发表于 2025-3-24 12:35:28
,ViLA: Efficient Video-Language Alignment for Video Question Answering,he state-of-the-art methods on the video question-answering benchmarks: . on STAR Interaction, . on STAR average with . speed up, ours 2-frames out-perform SeViLA 4-frames on the VLEP dataset with . speed-up. Code will be available atARCHE 发表于 2025-3-24 16:46:22
http://reply.papertrans.cn/25/2424/242330/242330_18.png打击 发表于 2025-3-24 22:52:06
http://reply.papertrans.cn/25/2424/242330/242330_19.pngFATAL 发表于 2025-3-25 02:24:55
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