Fugtemypt123/VIGA

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1275 stars · 124 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

VIGA is an analysis-by-synthesis code agent that reconstructs 3D scenes and slide layouts from images by generating and executing Blender Python or PowerPoint programs. A single self-reflective agent alternates between a Generator role that writes scene code and a Verifier role that compares renders against the target image, iterating until they match without any finetuning.

Use cases

• reconstruct a 3D scene from a single image as editable Blender code
• generate Blender Python programs whose renders match a target image
• automatically synthesize PowerPoint slide layouts from reference images
• build 4D dynamic scenes with physics from images
• evaluate multimodal agents on 3D graphics editing benchmarks like BlenderBench and BlenderGym
• iteratively refine generated scene code until rendered output matches a reference

When to choose

• You want image-to-3D reconstruction that outputs editable, programmatic Blender scenes rather than raw meshes
• You need a self-correcting generate-render-verify agent loop that works without finetuning
• You want to reproduce or extend research on BlenderBench, BlenderGym, or SlideBench, or run custom static/dynamic scene modes

When to avoid

• You need fast or real-time reconstruction - the write-run-compare-revise loop is slow and GPU/CUDA-intensive
• You want production photogrammetry or CAD tools rather than a research-grade LLM agent
• Your environment cannot call large multimodal LLMs due to cost, latency, or privacy constraints

Facets

framework · maturity active

agent-framework computer-vision graphics artificial-intelligence computer-vision graphics large-language-models python inverse-graphics blender 3d-reconstruction scene-synthesis analysis-by-synthesis multimodal-llm agentic-coding render-and-verify slide-generation 4d-scenes no-finetuning ai-agents linux gpu

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For agents

markdown · JSON · MCP: product_card(name="Fugtemypt123/VIGA")