| # InteriorFusion: AI Interior Designer — Product Architecture |
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| ## Product Vision |
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| **"Any room photo → editable 3D design space in 30 seconds"** |
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| Transform interior design from a manual, weeks-long process into an AI-assisted, real-time creative tool. Users upload a room photo, and InteriorFusion creates a complete 3D scene they can redesign, refurnish, and redecorate — all before their coffee gets cold. |
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| --- |
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| ## Feature Matrix |
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| ### Core Features |
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| | Feature | Description | Priority | Status | |
| |---------|-------------|----------|--------| |
| | **Photo Upload** | Upload any room photo | P0 | ✅ Prototype | |
| | **3D Room Generation** | Generate complete 3D scene | P0 | ✅ Prototype | |
| | **Furniture Editing** | Move/remove/scale objects | P0 | ✅ Design | |
| | **Material Swap** | Change wall/floor/furniture materials | P0 | ✅ Design | |
| | **Relight Room** | Adjust lighting, add light sources | P1 | 📝 Planned | |
| | **Style Transfer** | Transform to different interior styles | P1 | 📝 Planned | |
| | **Export to Blender** | One-click Blender import | P0 | ✅ Prototype | |
| | **Export to UE5** | Direct Unreal Engine asset export | P1 | 📝 Planned | |
| | **Export to Unity** | Unity package export | P1 | 📝 Planned | |
| | **AR Preview** | View in real room via phone AR | P1 | 📝 Planned | |
| | **Furniture Recommendations** | AI-suggested furniture from catalog | P2 | 📝 Planned | |
| | **Room Style Quiz** | "What style is this room?" | P2 | 📝 Planned | |
| | **Before/After Comparison** | Side-by-side design iterations | P1 | 📝 Planned | |
| | **Design Share** | Share interactive 3D scenes via URL | P1 | 📝 Planned | |
| | **Professional Report** | Generate PDF design proposal | P2 | 📝 Planned | |
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| ### Interior Style Support |
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| | Style | Training Data | Quality Target | |
| |-------|--------------|---------------| |
| | **Modern** | 3D-FRONT + Pinterest | ⭐⭐⭐⭐⭐ | |
| | **Scandinavian** | 3D-FRONT + InteriorNet | ⭐⭐⭐⭐⭐ | |
| | **Luxury / High-end** | 3D-FRONT luxury subset | ⭐⭐⭐⭐ | |
| | **Indian / Traditional** | Custom dataset + Pinterest | ⭐⭐⭐⭐ | |
| | **Commercial / Office** | HM3D office scenes | ⭐⭐⭐⭐ | |
| | **Industrial** | 3D-FRIND + InteriorNet | ⭐⭐⭐⭐ | |
| | **Minimalist** | 3D-FRONT + curated | ⭐⭐⭐⭐ | |
| | **Bohemian** | Pinterest + custom | ⭐⭐⭐ | |
| | **Japanese** | Custom dataset | ⭐⭐⭐ | |
| | **Art Deco** | Curated subset | ⭐⭐⭐ | |
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| ### Room Type Support |
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| | Room Type | Supported | Notes | |
| |-----------|-----------|-------| |
| | **Living Room** | ✅ Full | Best supported | |
| | **Bedroom** | ✅ Full | Full support | |
| | **Kitchen** | ✅ Full | Appliances as objects | |
| | **Dining Room** | ✅ Full | Table + chairs pattern | |
| | **Home Office** | ✅ Full | Desk + chair + shelf | |
| | **Bathroom** | ⚠️ Partial | Mirrors, fixtures simplified | |
| | **Hallway** | ⚠️ Partial | Limited furniture | |
| | **Outdoor Patio** | ❌ Not supported | Future scope | |
| | **Commercial Retail** | 📝 Planned | v2.0 | |
| | **Restaurant / Cafe** | 📝 Planned | v2.0 | |
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| --- |
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| ## Backend Architecture |
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| ### Service Topology |
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| ``` |
| ┌─────────────────────────────────────────────────────────────┐ |
| │ API Gateway │ |
| │ (Rate limiting, Auth, SSL, CDN) │ |
| └─────────────────────────────────────────────────────────────┘ |
| │ |
| ┌────────────────────┼────────────────────┐ |
| │ │ │ |
| ┌───────▼──────┐ ┌────────▼────────┐ ┌────▼─────┐ |
| │ REST API │ │ WebSocket API │ │ Webhook │ |
| │ (FastAPI) │ │ (Real-time │ │ (Export │ |
| │ │ │ progress) │ │ notify) │ |
| └───────┬──────┘ └────────┬────────┘ └────┬─────┘ |
| │ │ │ |
| ┌───────▼────────────────────▼──────────────────▼─────────────┐ |
| │ Task Queue (Redis/RabbitMQ) │ |
| │ Priority: free < premium < enterprise │ |
| └───────┬───────────────────────────────────────┬─────────────┘ |
| │ │ |
| ┌───────▼────────┐ ┌────────▼────────┐ |
| │ GPU Workers │ │ CPU Workers │ |
| │ (Ray/K8s) │ │ (Pre/Post proc) │ |
| │ │ │ │ |
| │ - Generation │ │ - Segmentation │ |
| │ - Rendering │ │ - Mesh cleanup │ |
| │ - Export │ │ - Format conv │ |
| └────────────────┘ └─────────────────┘ |
| ``` |
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| ### GPU Orchestration (Ray + Kubernetes) |
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| ```yaml |
| # k8s/interiorfusion-gpu-worker.yaml |
| apiVersion: apps/v1 |
| kind: Deployment |
| metadata: |
| name: interiorfusion-gpu-worker |
| spec: |
| replicas: 5 |
| selector: |
| matchLabels: |
| app: interiorfusion-gpu |
| template: |
| spec: |
| containers: |
| - name: worker |
| image: stevee00/interiorfusion:latest |
| resources: |
| limits: |
| nvidia.com/gpu: 1 |
| memory: "32Gi" |
| cpu: "8" |
| env: |
| - name: MODEL_SIZE |
| value: "L" |
| - name: BATCH_SIZE |
| value: "1" |
| ``` |
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| ### Queueing Strategy |
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| | Tier | Max Queue Time | Priority | GPU Allocation | |
| |------|---------------|----------|---------------| |
| | **Free** | 5 minutes | Low | Shared A10G | |
| | **Pro** ($20/mo) | 30 seconds | Medium | Dedicated A10G | |
| | **Enterprise** | 5 seconds | High | Dedicated A100 | |
| | **Batch API** | 1 hour | Lowest | Spot instances | |
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| ### Caching Strategy |
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| | Cache Layer | TTL | Size | Purpose | |
| |-------------|-----|------|---------| |
| | **CDN Edge** | 24h | Infinite | Generated GLB/PLY files | |
| | **Redis Hot** | 1h | 10GB | Depth maps, segmentation | |
| | **Redis Warm** | 24h | 50GB | Scene graphs, metadata | |
| | **GPU VRAM** | 5m | Per-GPU | Model weights, active scenes | |
| | **Disk Cache** | 7d | 1TB | Model checkpoints, datasets | |
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| ### Vector Database (ChromaDB / Pinecone) |
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| Store: |
| - Furniture embeddings for similarity search |
| - Room style embeddings for style matching |
| - User preference history for personalization |
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| Schema: |
| ```python |
| { |
| "id": "furniture_12345", |
| "embedding": [768-dim vector], |
| "metadata": { |
| "type": "sofa", |
| "style": "scandinavian", |
| "dimensions": [2.0, 0.9, 0.8], |
| "material": "fabric", |
| "color": "gray", |
| "source": "ikea_catalog", |
| } |
| } |
| ``` |
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| --- |
|
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| ## Inference Service Architecture |
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| ### Model Registry (HF Hub) |
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| ```python |
| # Model versions managed via HF Hub |
| MODEL_REGISTRY = { |
| "InteriorFusion-S": { |
| "repo": "stevee00/InteriorFusion-S", |
| "size": "1.5B", |
| "speed": "5s", |
| "quality": "preview", |
| }, |
| "InteriorFusion-L": { |
| "repo": "stevee00/InteriorFusion-L", |
| "size": "4B", |
| "speed": "15s", |
| "quality": "production", |
| }, |
| "InteriorFusion-XL": { |
| "repo": "stevee00/InteriorFusion-XL", |
| "size": "10B", |
| "speed": "30s", |
| "quality": "research", |
| }, |
| } |
| ``` |
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| ### Auto-scaling Rules |
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| | Metric | Threshold | Action | |
| |--------|-----------|--------| |
| | Queue depth | > 10 tasks | Scale up GPU workers +2 | |
| | Queue depth | < 2 tasks | Scale down GPU workers -1 | |
| | Avg inference time | > 20s (L model) | Switch to S model for free tier | |
| | GPU memory | > 90% | Clear LRU cache | |
| | Error rate | > 5% | Alert + fallback to S model | |
| | Cost/hour | > $100 | Enable spot instance preference | |
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| --- |
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| ## Rendering Pipeline |
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| ### Real-time Preview (Gaussian Splatting) |
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| For the interactive 3D viewer: |
| - Scene loaded as Gaussian splatting PLY |
| - Web-based viewer using Three.js + GaussianSplatting |
| - FPS target: 60fps on RTX 3060, 30fps on integrated GPU |
| - Level-of-Detail: Reduce Gaussian count for distant objects |
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| ### Production Quality (Path Tracing) |
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| For final export / marketing renders: |
| - Export to Blender / UE5 / Unity |
| - Use native path tracing (Cycles, Lumen, HDRP) |
| - Bake lighting into lightmaps for static scenes |
| - Real-time GI for dynamic objects |
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| ### Web Viewer Architecture |
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| ```html |
| <!-- Simplified web viewer --> |
| <interiorfusion-viewer |
| scene-url="https://cdn.interiorfusion.ai/scenes/abc123/scene.ply" |
| editable="true" |
| ar-support="true" |
| vr-support="false" |
| > |
| </interiorfusion-viewer> |
| ``` |
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| Features: |
| - Orbit controls (rotate, zoom, pan) |
| - Object selection (click to select furniture) |
| - Property panel (position, rotation, scale, material) |
| - Material picker (swatches from PBR library) |
| - Lighting control (time of day, intensity) |
| - AR mode (place in real room via WebXR) |
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| --- |
|
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| ## Asset Management |
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| ### Furniture Catalog |
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| | Source | Items | License | Integration | |
| |--------|-------|---------|------------| |
| | **IKEA API** | ~10,000 | Commercial | Direct purchase links | |
| | **Wayfair API** | ~100,000 | Commercial | Affiliate links | |
| | **3D-FUTURE** | ~10,000 | Research | Training + reference | |
| | **Objaverse** | ~10M | Mixed | Generic placeholders | |
| | **Custom Models** | User uploads | User-owned | Premium feature | |
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| ### Material Library |
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| | Category | Count | Source | |
| |----------|-------|--------| |
| | **Wood** | 500 | CC0 Textures, Poliigon | |
| | **Fabric / Upholstery** | 300 | Custom scans | |
| | **Tile / Stone** | 200 | CC0 Textures | |
| | **Paint** | 1000 | Sherwin-Williams, Benjamin Moore | |
| | **Wallpaper** | 500 | Spoonflower, Wallcoverings | |
| | **Metal** | 150 | CC0 Textures | |
| | **Glass** | 50 | Custom | |
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| --- |
|
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| ## Business Model |
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| ### Pricing Tiers |
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| | Tier | Price | Generations/mo | Quality | Export | API | Support | |
| |------|-------|---------------|---------|--------|-----|---------| |
| | **Free** | $0 | 5 | S model | GLB only | ❌ | Community | |
| | **Pro** | $20/mo | 100 | L model | All formats | ✅ 100/day | Email | |
| | **Studio** | $99/mo | 500 | XL model | All + batch | ✅ 1000/day | Priority | |
| | **Enterprise** | Custom | Unlimited | XL + custom | All + white-label | ✅ Unlimited | Dedicated | |
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| ### Revenue Streams |
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| 1. **Subscription**: Monthly plans (primary revenue) |
| 2. **API Usage**: Per-generation pricing for integrations |
| 3. **Furniture Affiliates**: Commission on furniture purchases |
| 4. **Professional Services**: Custom training, fine-tuning |
| 5. **White-label**: Licensed SDK for furniture retailers |
| 6. **Data**: Anonymized trend reports (industry insights) |
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| --- |
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| ## Moat & Competitive Advantage |
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| ### Technical Moat |
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| 1. **Interior-specific architecture**: No competitor has scene-aware 3D generation |
| 2. **Proprietary dataset**: Curated 85K interior rooms, multi-modal |
| 3. **Training cost barrier**: $65K to replicate, 4 weeks on 32×A100 |
| 4. **Integration depth**: Blender/UE/Unity/ComfyUI plugins (network effects) |
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| ### Data Moat |
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| 1. **User-generated scenes**: Every generation improves dataset |
| 2. **Feedback loop**: User edits provide preference signals |
| 3. **Style trends**: Real-time interior design trend detection |
| 4. **Furniture catalog**: Deep embedding of commercial products |
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| ### Network Effects |
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| 1. **Community models**: Users fine-tune and share LoRAs |
| 2. **Template library**: Popular room designs become templates |
| 3. **Plugin ecosystem**: Third-party tools extend capabilities |
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| --- |
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| ## Roadmap |
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| ### Q3 2026 (Launch) |
| - ✅ Single photo → 3D scene |
| - ✅ GLB/PLY export |
| - ✅ Gradio web app |
| - ✅ Blender plugin |
| - ✅ Basic editing (move, remove, replace) |
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| ### Q4 2026 (Growth) |
| - 📝 FastAPI backend + API |
| - 📝 Mobile app (iOS/Android) |
| - 📝 AR preview (ARKit / ARCore) |
| - 📝 Furniture recommendations |
| - 📝 Style transfer |
| - 📝 Material swap UI |
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| ### Q1 2027 (Scale) |
| - 📝 ComfyUI nodes |
| - 📝 Unreal Engine / Unity plugins |
| - 📝 Batch generation API |
| - 📝 Enterprise white-label |
| - 📝 Video-to-3D extension |
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| ### Q2 2027 (Maturity) |
| - 📝 Multi-room generation |
| - 📝 Floor plan import |
| - 📝 Lighting design |
| - 📝 HVAC/ electrical visualization |
| - 📝 Construction document generation |
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