| 1 |
DiMoP: Diffusion-Driven Motion Representation Learning With Frame-Level Pseudo-Classification for Skeleton-Based Action Recognition |
提出DiMoP以解决骨架动作识别中的运动表示学习问题 |
representation learning motion representation |
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| 2 |
RefineDrive: Reliable Failure-Guided Learning for Vision-Language-Action Driving |
提出RefineDrive以解决自主驾驶中的失败学习问题 |
reinforcement learning vision-language-action VLA |
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| 3 |
Unified Trajectory Matching Policy Optimization: Diverse T2I Generation and VLA Generalization |
提出统一轨迹匹配策略优化以解决T2I生成与VLA泛化问题 |
reinforcement learning vision-language-action VLA |
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| 4 |
Evidence-Aligned Multimodal On-Policy Self-Distillation for Fine-Grained Visual Understanding |
提出证据对齐的多模态在线自蒸馏以解决细粒度视觉理解问题 |
distillation multimodal |
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| 5 |
CAR-VLA: Complexity-Aware and Risk-Adaptive Reasoning for Autonomous Driving |
提出CAR-VLA以解决自动驾驶中的复杂性与风险适应性问题 |
reinforcement learning vision-language-action VLA |
✅ |
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| 6 |
Revisit to Segment: Working Memory Distillation for Reasoning Segmentation |
提出SWiM框架以增强推理分割能力 |
reinforcement learning distillation large language model |
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| 7 |
WorldAttention: An Efficient Attention Architecture for Interactive Video World Models |
提出WorldAttention以解决长视频生成中的计算复杂性问题 |
world model world models embodied AI |
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| 8 |
Counterfactual Attention Policy Distillation for Temporal Video Grounding |
提出反事实注意力策略蒸馏以解决长视频时间定位问题 |
teacher-student distillation large language model |
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| 9 |
FlowTool: Controlling Tool Parameter in Image Retouching via Flow Matching |
提出FlowTool以解决工具参数控制问题 |
flow matching large language model multimodal |
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| 10 |
WorldPlay2: Extending Real-Time Interactive World Models in Control and Horizon |
提出WorldPlay2以解决实时互动世界模型的控制与一致性问题 |
world model world models distillation |
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| 11 |
RoGSW4RLD: Feed-Forward 4D Gaussian Lifting for Robot World Model Rollouts |
提出RoGSW4RLD以解决多视角视频世界模型一致性问题 |
world model world models |
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| 12 |
What Makes World Action Models Generalize? An Empirical Study of Test-Time Future Modeling |
提出Simple-WAM以提升世界动作模型的泛化能力 |
world action model world action models |
✅ |
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| 13 |
OPIS: An Input-Grounded Benchmark for Multi-Object Memory in Video World Models |
提出OPIS基准以评估视频世界模型中的多对象记忆能力 |
world model world models |
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| 14 |
WM-VLM: Probing Internal World Models for Interleaved Visual-Textual Reasoning |
提出WM-VLM以解决视觉-文本推理中的空间问题 |
world model world models |
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| 15 |
Distilling Visual Reasoning into Text Space |
提出V2T框架以解决视觉推理中的中间表示问题 |
reinforcement learning distillation multimodal |
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| 16 |
CoDrive: Cross-Vehicle World-Consistent Video Generation with Precise Trajectory Control for Cooperative Driving |
提出CoDrive以解决多车辆协作驾驶中的一致性问题 |
world model world models spatial relationship |
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| 17 |
Learning Native Reflection in Unified Models with Interleaved Reinforcement Learning |
提出UMM-Reflection以解决多模态模型自我修复问题 |
reinforcement learning multimodal |
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| 18 |
DrawingsDreamer: A Unified Multi-View Engineering Drawings Generation Model |
提出DrawingsDreamer以解决工程图纸生成中的几何精度问题 |
dreamer large language model |
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| 19 |
From UNI2-h to ConvNeXt-T: Lightweight Nuclei Instance Segmentation via Knowledge Distillation |
提出轻量级蒸馏方法以解决数字病理中的细胞核实例分割问题 |
distillation foundation model |
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| 20 |
Role-Guided MOE for Encoder-Level Pathology Representation Learning in WSI Classification |
提出角色引导的混合专家网络以提升WSI分类的病理表示学习 |
representation learning foundation model |
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| 21 |
PDMD: Projected Distribution Matching Distillation for Video Diffusion Models |
提出PDMD以解决视频扩散模型中的批评者错误问题 |
distillation spatiotemporal |
✅ |
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| 22 |
AHMAD: Adaptive Hybrid Multi-task Vision Learning with Assisted Distillation for Keypoint Detection |
提出AHMAD框架以解决多任务视觉学习的效率问题 |
distillation depth estimation |
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| 23 |
From Static to Dynamic: On-Policy Distillation from Image to Video Diffusion Models |
提出MILD框架以解决视频生成中的动态一致性问题 |
distillation optical flow |
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| 24 |
PIVOT: Pivot-Aware On Policy Self Distillation for Multi-Turn VLM Agents |
提出PIVOT以解决多轮VLM代理训练中的奖励稀疏问题 |
reinforcement learning distillation |
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| 25 |
G$^3$-LoRA: Organizing Reward-Weighted Video Data with Gradient-Guided Grouped LoRA |
提出G$^3$-LoRA以解决异构奖励加权视频数据的训练问题 |
flow matching distillation multimodal |
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| 26 |
On-Policy Self-Distillation for Multi-Turn Image Editing |
提出MT-OPSD框架以解决多轮图像编辑中的性能下降问题 |
distillation |
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| 27 |
Proxy2World: Learning to Generate Worlds From Lightweight Proxies without Seeing Them |
提出Proxy2World以解决轻量级代理生成世界的问题 |
flow matching world model world models |
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| 28 |
ReSight-SMC: Two-Stage Power Sampling via Island SMC with Visual Scouts |
提出ReSight-SMC以解决大规模视觉语言模型推理中的多模态采样问题 |
reinforcement learning multimodal |
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| 29 |
FILIGREE3D: Scaling Sparse Latent Flow Matching for Ultra-High-Resolution Image-to-3D Generation |
提出Filigree3D以解决超高分辨率图像到3D生成的计算挑战 |
flow matching |
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| 30 |
CapField-OPD: Learning Continuous Capability Fields via Joint-Anchored Multi-Teacher On-Policy Distillation for Flow Models |
提出CapField-OPD以解决流模型能力调用的脆弱性问题 |
distillation |
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| 31 |
Reinforcement Learning from Intermediate Renders for Image-to-Code Generation |
提出IR4RL框架以优化图像到代码生成中的反馈问题 |
reinforcement learning |
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| 32 |
DynaTokens: Teaching Dynamics to Camera-Controlled Video Models at Test Time |
提出DynaTokens以解决动态场景下视频生成问题 |
world model world models |
✅ |
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| 33 |
Precise Editing and Flexible Referencing for Interactable Worlds |
提出EditWorld以解决交互世界中精确编辑与灵活引用问题 |
world model world models |
✅ |
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