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Spatial Reasoning

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Showing 251–300 of 453 papers

TitleStatusHype
Narrowing the Gap between Vision and Action in NavigationCode0
Beyond the Hype: A dispassionate look at vision-language models in medical scenario—0
SceneGPT: A Language Model for 3D Scene Understanding—0
Space-LLaVA: a Vision-Language Model Adapted to Extraterrestrial Applications—0
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models—0
Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model—0
OpenSU3D: Open World 3D Scene Understanding using Foundation Models—0
I Know About "Up"! Enhancing Spatial Reasoning in Visual Language Models Through 3D Reconstruction—0
A LLM Benchmark based on the Minecraft Builder Dialog Agent Task—0
Show, Don't Tell: Evaluating Large Language Models Beyond Textual Understanding with ChildPlayCode0
Learning Action and Reasoning-Centric Image Editing from Videos and SimulationsCode1
GRASP: A Grid-Based Benchmark for Evaluating Commonsense Spatial Reasoning—0
FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts—0
Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language ModelsCode2
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities—0
CityGPT: Empowering Urban Spatial Cognition of Large Language ModelsCode1
GSR-BENCH: A Benchmark for Grounded Spatial Reasoning Evaluation via Multimodal LLMs—0
Neuro-symbolic Training for Reasoning over Spatial LanguageCode0
AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video UnderstandingCode1
SpatialBot: Precise Spatial Understanding with Vision Language ModelsCode3
WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences—0
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics—0
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language ModelsCode3
Flow of Reasoning:Training LLMs for Divergent Problem Solving with Minimal ExamplesCode2
Quantifying Geospatial in the Common Crawl Corpus—0
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language ModelsCode0
TopViewRS: Vision-Language Models as Top-View Spatial ReasonersCode1
SpatialRGPT: Grounded Spatial Reasoning in Vision Language ModelsCode0
Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative ReasoningCode0
Can Large Language Models Create New Knowledge for Spatial Reasoning Tasks?—0
When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language ModelsCode7
Generating Human Motion in 3D Scenes from Text Descriptions—0
DARA: Domain- and Relation-aware Adapters Make Parameter-efficient Tuning for Visual GroundingCode1
RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation—0
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis—0
Re-Thinking Inverse Graphics With Large Language Models—0
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMsCode0
HAMMR: HierArchical MultiModal React agents for generic VQA—0
Challenges Faced by Large Language Models in Solving Multi-Agent Flocking—0
Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language ModelsCode1
Getting it Right: Improving Spatial Consistency in Text-to-Image ModelsCode2
Grounding Spatial Relations in Text-Only Language ModelsCode0
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors—0
JSTR: Joint Spatio-Temporal Reasoning for Event-based Moving Object Detection—0
DivCon: Divide and Conquer for Progressive Text-to-Image Generation—0
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training—0
A Surprising Failure? Multimodal LLMs and the NLVR Challenge—0
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent EnvironmentsCode1
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models—0
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
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