Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning
On the map: LLM reasoning → Multimodal reasoning
also in 2 more
Abstract (arXiv)
Vision-as-inverse-graphics, the concept of reconstructing images into editable programs, remains challenging for Vision-Language Models (VLMs), which inherently lack fine-grained spatial grounding in one-shot settings. To address this, we introduce VIGA (Vision-as-Inverse-Graphics Agent), an interleaved multimodal reasoning framework where symbolic logic and visual perception actively cross-verify each other. VIGA operates through a tightly coupled code-render-inspect loop: synthesizing symbolic programs, projecting them into visual states, and inspecting discrepancies to guide iterative edits. Equipped with high-level semantic skills and an evolving multimodal memory, VIGA sustains evidence-based modifications over long horizons. This training-free, task-agnostic framework seamlessly supports 2D document generation, 3D reconstruction, multi-step 3D editing, and 4D physical interaction. Finally, we introduce BlenderBench, a challenging visual-to-code benchmark. Empirically, VIGA substantially improves accuracy compared with one-shot baselines in BlenderGym (35.32%), SlideBench (117.17%) and our proposed BlenderBench (124.70%).
Key facts. Cited by 49 papers in the map (data through 14 Oct 2026). Placed in Multimodal reasoning, one of 17 directions in LLM reasoning. Builds on 17 of its 71 references that are in the map. First posted on arXiv 16 Jan 2026.
Builds on
17 of 71 references.
References · 17
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- 2024Empowering LLMs to Understand and Generate Complex Vector Graphicscited by 66
- 2023Modular Visual Question Answering via Code Generationcited by 48
- 2024Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databasescited by 45
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- 2025SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from Designcited by 24
- 2025Task Memory Engine: Spatial Memory for Robust Multi-Step LLM Agentscited by 5
- 2025Reflection-Based Memory For Web navigation Agentscited by 5
- 2025ALMAS: an Autonomous LLM-based Multi-Agent Software Engineering Frameworkcited by 4
- 20253D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worldscited by 3
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Citing papers per year: 2026: 49.
49 papers.
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- 2026CoDimRecon: Agentic Reconstruction of Sim-Ready 3D Scenes with Deformable Curves, Surfaces, and Volumes28 Sep 2026
- 2026HARMONY: Hierarchical Agentic Reasoning for MONocular Image-to-Scene Synthesis22 Sep 2026
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