Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models
cs.CV
Submitted: 2026-08-11
Updated: 2026-10-13
Terminology
Sources
- VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction
- RT-1: Robotics Transformer for Real-World Control at Scale
- PaLM-E: An Embodied Multimodal Language Model
- Qwen2.5-VL Technical Report
- InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
- Visual Spatial Tuning
- Scaling Spatial Intelligence with Multimodal Foundation Models
- Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis
- G$^2$VLM: Geometry Grounded Vision Language Model with Unified 3D Reconstruction and Spatial Reasoning
- Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors
- SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial Reasoning
- Distilling the Knowledge in a Neural Network
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- GPT-4o System Card
- STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
- VLM4D: Towards Spatiotemporal Awareness in Vision Language Models
- Learning Transferable Visual Models From Natural Language Supervision
- Sigmoid Loss for Language Image Pre-Training
- Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
- MIRAGE: The Illusion of Visual Understanding
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