Papers

Filtered to 3D-to-2D projection · clear filter

Browse by term

continual learning 91reinforcement learning 43vision-language models 18benchmarking 12benchmarks 11robotics 11large language models 10language models 9world models 9video generation 6generative models 5multimodal models 5natural language processing 5recursive self-improvement 5video world models 5agents 4dialogue systems 4diffusion models 4foundation models 4multimodal large language models 4on-policy distillation 4reasoning 4self-distillation 4self-supervised learning 4conversational AI 3evaluation benchmarks 3human-computer interaction 3LLMs 3multi-agent systems 3policy optimization 3

Matching papers

SpatialBlock: Enhancing Spatial Intelligence in LVLMs via Synthetic Block-Stacking Problem

134 upvotes · 7 SEP 2026 · Soohyun Ryu, Sohee Kim, Eunho Yang

This paper helps large Vision-Language Models (LVLMs) better understand and reason about 3D scenes from 2D images, a key aspect of spatial intelligence, by training them on a synthetic dataset of block-stacking problems. Practitioners might care because improving spatial intelligence can lead to better performance on various visual tasks.

vision-language modelsspatial intelligencesynthetic datasetsblock-stacking3D-to-2D projection