13 citations · 30 across the 19 of their papers we have counts for
10 papers · 1 filter
SpatialSpeak: QA-Native Reconstruction with Local and Global Context for Spatial Chain-of-Thought Reasoning
Yang Cao, Jiaxin Zhang, Dave Zhenyu Chen +4
Vision-language models (VLMs) can benefit from geometric priors for multi-view spatial reasoning, yet answer-only training does not directly supervise the intermediate geometric es…
CoordRefer: Coordinate-Aware 3D Visual Grounding from Multiview Images
Haijie Li, Jiaxin Zhang, Dave Zhenyu Chen +3
Multiview image-based 3D visual grounding predicts a coordinate frame to define a coordinate system and then regresses a 3D bounding box for localization. However, existing methods…
Breaking the Horizontal Prior: From Long-Tailed Orientation Bias to Roll-Robust Monocular Depth Estimation
Kaihua Tang, Ziqing Xia, Xiaoxu Zheng +4
Despite recent advances in Monocular Depth Estimation, state-of-the-art depth foundation models remain vulnerable to robustness issues. Particularly, even slight camera rolls can r…
AsySplat: Efficient Asymmetric 3D Gaussian Splatting for Long-Sequence Scene Modeling
Yingji Zhong, Dave Zhenyu Chen, Fuzhao Ou +4
Recent generalizable 3D Gaussian Splatting models have advanced long-sequence novel view synthesis (NVS), but at the cost of substantial redundant computation. We identify that the…
OneCanvas: 3D Scene Understanding via Panoramic Reprojection
Bartłomiej Baranowski, Dave Zhenyu Chen, Matthias Nießner
Existing approaches to 3D scene understanding in Vision-Language Models (VLMs) either rely on complex, model-specific geometry encoders or large training budgets in pursuit of spat…
AnchorSplat: Feed-Forward 3D Gaussian Splatting with 3D Geometric Priors
Xiaoxue Zhang, Xiaoxu Zheng, Yixuan Yin +5
Recent feed-forward Gaussian reconstruction models adopt a pixel-aligned formulation that maps each 2D pixel to a 3D Gaussian, entangling Gaussian representations tightly with the…
Reliev3R: Relieving Feed-forward Reconstruction from Multi-View Geometric Annotations
Youyu Chen, Junjun Jiang, Yueru Luo +4
With recent advances, Feed-forward Reconstruction Models (FFRMs) have demonstrated great potential in reconstruction quality and adaptiveness to multiple downstream tasks. However,…
GAP-MLLM: Geometry-Aligned Pre-training for Activating 3D Spatial Perception in Multimodal Large Language Models
Jiaxin Zhang, Junjun Jiang, Haijie Li +3
Multimodal Large Language Models (MLLMs) demonstrate exceptional semantic reasoning but struggle with 3D spatial perception when restricted to pure RGB inputs. Despite leveraging i…
VGGT-Det: Mining VGGT Internal Priors for Sensor-Geometry-Free Multi-View Indoor 3D Object Detection
Yang Cao, Feize Wu, Dave Zhenyu Chen +3
Current multi-view indoor 3D object detectors rely on sensor geometry that is costly to obtain (i.e., precisely calibrated multi-view camera poses) to fuse multi-view information i…
Map2Thought: Explicit 3D Spatial Reasoning via Metric Cognitive Maps
Xiangjun Gao, Zhensong Zhang, Dave Zhenyu Chen +4
We propose Map2Thought, a framework that enables explicit and interpretable spatial reasoning for 3D VLMs. The framework is grounded in two key components: Metric Cognitive Map (Me…