arXiv (All)
open access
CoMa: Contextual Massing Generation with Vision-Language Models
Context-aware building massing is an important early-stage design task: given a site for buildings, a generated massing should not only fit the target parcel, but also relate to the scale, density, and morphology of its surrounding urban fabric. This task is naturally multimodal, since the target ou
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- SGE: Semantically-Guided Exploration for Unstructured Environments via Image-Space Waypoint Sampling#794117
- SGE: Semantically-Guided Exploration for Unstructured Environments via Image-Space Waypoint Sampling#790098
- Shapelessness in Context#775220
- GoViG: Goal-Conditioned Visual Navigation Instruction Generation via Multimodal Reasoning#179219
- Unified Text-Image Generation with Weakness-Targeted Post-Training#999709
Record · ID 1014592
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive