AI Automated VFX Generation System

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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AI Automated VFX Generation System
Complex
from 1 week to 3 months
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AI System for Automated VFX Generation

Visual effects are one of the most costly elements of production. Neural network approaches do not replace VFX artists on large projects, but fundamentally change the economics of low-budget productions, advertising and social media content. We build automated pipelines for specific classes of VFX tasks.

Automatable Task Classes

Rotoscoping and Masks:

  • SAM 2 (Segment Anything Model 2) for automatic tracking segmentation of objects across video
  • Production footage accuracy: IoU > 0.92 for static objects, > 0.85 for fast motion
  • Savings: 10-minute video task with manual rotoscoping (40+ hours) reduced to 2–4 hours with semi-automatic system

Background Replacement / Environment Generation:

  • Stable Video Diffusion + ControlNet for generating background environments
  • Inpainting for seamless background replacement accounting for lighting
  • Neural HDR matching for matching object lighting and new background

Particle Effects & Simulation:

  • StyleGAN-based generation of smoke, fire, explosion textures
  • Neural simulation for physical effects (replacing Houdini simulations with inference)
  • Parametric control: intensity, color, direction

De-aging / Re-aging:

  • StyleCLIP + GFPGAN for age correction of faces
  • Face Restoration (CodeFormer, GFPGAN v1.4) for upscaling and retouching
  • Accuracy: natural result on 90% of frames without manual corrections

Wire Removal & Object Removal:

  • LaMa (Large Mask inpainting) + Stable Diffusion inpainting
  • Automatic wire/rig detection via Grounding DINO
  • Processing: 10–30 frames/min on RTX 4090

Development Pipeline

Weeks 1–3: Audit client tasks, define priority VFX classes. Test baseline models on sample footage.

Weeks 4–8: Develop custom pipelines for project specifics (genre, lighting, camera motion). Fine-tuning if needed.

Weeks 9–11: NLE integration: Adobe Premiere Pro (CEP Extension), DaVinci Resolve (Fusion Script), After Effects (ExtendScript + Python bridge).

Weeks 12–14: Performance optimization. Batch processing configuration for production volumes.

Performance

VFX Task Speed (RTX 4090) vs. Manual Work
Rotoscoping (SAM 2) 15–25 frames/sec -80% time
Inpainting (4K) 3–8 sec/frame -60% time
Face Restoration 25–30 frames/sec -90% time
Background Swap 2–5 sec/frame -70% time

Integration Formats

OpenEXR for multi-layer output, ProRes 4444 for alpha channels, DPX for film workflow. Compatible with Nuke X, Flame, Fusion, After Effects.

What Remains with the Artist

Creative decisions: effect concept, art direction, handling non-standard situations. AI takes on technical execution of template tasks. Final review and correction remains mandatory — especially for hero shots.