Unverified50% confidenceBenchmarkExact time
SpatialASM enhances spatial capabilities while preserving the model's original general visual capabilities
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
UnverifiedThe SpatialASM framework includes a non-egocentric novel-perspective generator for anchoring hypothetical viewpoints to real visual evidence69% similarUnverifiedVisual primitives replace linguistic descriptions with coordinates, elevating the representation precision of spatial intermediate states from word granularity to pixel granularity.68% similarUnverifiedWorldClaw uses a coarse-to-fine 3D world construction method, first generating a semantic layout map and region-aware heightfield, then performing local refinement.67% similarUnverifiedThe key distinction between Atlas and traditional approaches lies in its spatial intelligence positioning, as it attempts to enable the model to build persistent, consistent representations of spatial structure rather than merely predicting the next frame.67% similarUnverified空间比例理解依赖视觉Transformer（ViT）对图像空间结构的解析能力和扩散模型的条件控制能力66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1001974API
curl https://kongchang.com/api/v1/knowledge/claims/1001974MCP
get_claim(id=1001974)