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7 篇 ECCV 论文!极佳视界联合顶尖高校,打通空间智能从「看得稳」到「摸得准」再到「决策灵」的落地瓶颈

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TL;DR - GigaAI and university partners presented seven ECCV papers spanning 3D/4D reconstruction, physically grounded assets, embodied control, and driving world models. Together, they aim to move spatial AI from visually convincing generation toward physically responsive, closed-loop interaction.

  • VLA-R1 combines explicit chain-of-thought supervision with GRPO reinforcement learning to improve interpretable, verifiable vision-language-action decisions for robotic manipulation.
  • OmniNWM jointly generates multimodal driving states, responds to vehicle controls, and derives safety and traffic-rule rewards from predicted 3D occupancy.
  • ReconPhys estimates appearance and physical properties from monocular video, while MoGe4D uses geometry-aware trajectories to synthesize dynamic 4D scenes from one image.
  • VolSplat, AnchorSplat, and 2K Retrofit target production-grade 3D geometry through voxel-aligned reconstruction, rapid detail enhancement, and sparse high-resolution refinement.

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7 篇 ECCV 论文!极佳视界联合顶尖高校,打通空间智能从「看得稳」到「摸得准」再到「决策灵」的落地瓶颈

雷峰网 (AI科技评论) 2026-09-09 arXiv:2510.01623
Public signals Hugging Face upvotes 13
Providers: Hugging Face · Upvotes 13 OpenAlex · N/A Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-25 14:22:22.198197 UTC

TL;DR - GigaAI and university partners presented seven ECCV papers spanning 3D/4D reconstruction, physically grounded assets, embodied control, and driving world models. Together, they aim to move spatial AI from visually convincing generation toward physically responsive, closed-loop interaction.

  • VLA-R1 combines explicit chain-of-thought supervision with GRPO reinforcement learning to improve interpretable, verifiable vision-language-action decisions for robotic manipulation.
  • OmniNWM jointly generates multimodal driving states, responds to vehicle controls, and derives safety and traffic-rule rewards from predicted 3D occupancy.
  • ReconPhys estimates appearance and physical properties from monocular video, while MoGe4D uses geometry-aware trajectories to synthesize dynamic 4D scenes from one image.
  • VolSplat, AnchorSplat, and 2K Retrofit target production-grade 3D geometry through voxel-aligned reconstruction, rapid detail enhancement, and sparse high-resolution refinement.
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