We combine creative direction with AI-enhanced tools for faster iteration, cleaner composites, and smarter finishing — without sacrificing artistic control.
Frame-aware upsampling that preserves texture, edges and temporal consistency. Ideal for legacy footage and marketing assets.
Per-pixel instance segmentation and motion-aware masks for complex actions, hair, smoke and fine edges—delivered with confidence metrics.
Generate plausible, stylistically consistent backgrounds where plates are missing, or extend environments for virtual production.
Scene-detection, shot-scoring, smart selects, and rough cut generation that give editors a high-quality starting cut to refine.
AI suggests filmic grades based on reference images, which artists refine — saving multiple iterations in early review rounds.
Frame-level checks for clip continuity, dropped frames, noise, and render artifacts plus auto-generated metadata for pipeline tracking.
Upload. Automated ingest extracts metadata, lens data, and runs a light analysis to determine noise levels, motion, and plate quality.
Automatic dust & scratch removal, temporal denoise, stabilization and optional neural upscaling to target resolution. Tracks are versioned per pass.
Generate backgrounds, fill frames, or propose variations of creative concepts. Models produce multiple style variants for artist selection.
Instance-aware masks, matte confidence maps, alpha refinement and edge preservation. Output includes per-frame mattes and compositing guides.
Artists receive suggested passes and make creative decisions — mask corrections, grading choices, and comp adjustments are versioned and tracked.
Final grade, mastering, and multi-aspect exports. Deliverables include ML metadata for reproducibility and traceability in future passes.
Produce multiple hero variants and aspect ratios quickly with AI-assisted cutdowns and color variants for A/B testing.
Restore archive footage with careful human review backed by AI denoising and frame interpolation.
Extend live-action plates with generated environment fills that match lighting and perspective.
Upscale and retime product footage for macro material studies, polish and micro-surface reveal shots.
Restored 40 minutes of archival footage: denoise, frame interpolation, color correction and deliverable packaging for broadcast.
Generated multiple background variants and rapid creative iterations for ad tests. Upscaled select plates to 4K for hero screens.
Filled LED stage gaps with AI-generated environment extensions, tuned for matching HDRI and camera motion.
"Graphix Lab's AI pipeline saved our post schedule — the automasks were excellent and the human review loop was fast and obvious."
"We got 6 creative variants in the time it usually takes for 1 — their tooling makes experimentation cheap and controllable."
Preprocess & cleanup for one short spot (2–5 days). Includes one AI pass and final artist polish.
Generative background variants + automated variants for social (1–2 weeks). Includes 3 creative variants.
Custom model training, pipeline integration, and SLA-backed deliverables. Scoped per brief.
Short answer: no. AI automates repetitive tasks and creates starting points — but artists still make key creative choices. Our pipeline is explicitly human-in-the-loop.
We can train models on-client data under NDA. We also offer isolated (on-prem / private cloud) training for sensitive assets.
Quality is measured by automated QC (flicker metrics, PSNR), plus artist-led subjective review and acceptance rounds.
