2024.12.09 每日AI论文 | 提升多模态模型性能,优化文本到视频生成质量。

2024.12.09 每日AI论文 | 提升多模态模型性能,优化文本到视频生成质量。

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本期的 11 篇论文如下:

00:27 🌐 Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling(扩展开源多模态模型性能边界:模型、数据与测试时扩展)

00:58 🎥 LiFT: Leveraging Human Feedback for Text-to-Video Model Alignment(利用人类反馈进行文本到视频模型对齐)

01:41 🧠 MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale(MAmmoTH-VL:大规模指令调优激发多模态推理)

02:24 🤖 EXAONE 3.5: Series of Large Language Models for Real-world Use Cases(EXAONE 3.5:面向实际应用的大型语言模型系列)

03:26 🤖 Moto: Latent Motion Token as the Bridging Language for Robot Manipulation(Moto:作为机器人操作桥梁语言的潜在运动标记)

04:10 🚀 APOLLO: SGD-like Memory, AdamW-level Performance(APOLLO:类似SGD的内存,AdamW级别的性能)

04:49 ⚡ SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step Diffusion(SwiftEdit:通过一步扩散实现闪电般快速的文本引导图像编辑)

05:26 🎥 GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration(GenMAC:基于多智能体协作的组合式文本到视频生成)

06:07 ⏱ Mind the Time: Temporally-Controlled Multi-Event Video Generation(注意时间:时间控制的多事件视频生成)

06:42 🏠 2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction(2DGS-Room:基于种子引导的2D高斯喷射与几何约束的高保真室内场景重建)

07:20 🗣 DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling(DEMO:通过细粒度元素建模重构对话交互)

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