الباحثون

Daniel Barath

المنشورات 2

نسخة أولية وصول مفتوح

CLoSeR: Closing the Loop for Long-Context Streaming Reconstruction

Moyang Li, Zihan Zhu, Wei Zhang وآخرون · 2026

Feedforward foundation models have recently shown remarkable 3D reconstruction capabilities. However, existing models exhibit large tracking drift in long-context streaming reconstruction due to error accumulation. In this paper, we revisit loop closure with streaming reconstruction foundation models to enable accurate …

نسخة أولية وصول مفتوح

Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering

Jaewoo Jung, Hyeonseo Yu, Honggyu An وآخرون · 2026

Reasoning about the 3D world from multi-view images remains a fundamental challenge for Multimodal Large Language Models (MLLMs). While modern MLLMs handle single-image inputs effectively, they struggle to integrate evidence across viewpoints into a coherent 3D understanding. A growing body of work attempts to close th …

المؤلفون المشاركون

Jaewoo Jung Hyeonseo Yu Honggyu An Jisang Han Mungyeom Kim Minkyeong Jeon Heeseong Shin Wonjun Moon Federico Tombari Marc Pollefeys Seungryong Kim Sunghwan Hong