LiDAR Scan
See your photo the way an autonomous sensor would.
What it does
Turns your photo into a hyper-realistic LiDAR depth scan, with dense point clouds up close that thin and diffuse into the distance.
When to use it
- Reimagining street, vehicle or cityscape photos as autonomous-driving perception views
- Creating a technical, machine-vision look for portraits without losing the person's identity
- Tech, robotics or mobility brand visuals that need an authentic sensor aesthetic
- Striking cover art and thumbnails with a restrained, scientific point-cloud style
- Visualizing depth and spatial structure in a scene for presentations or explainer content
- Distinctive social posts that look like raw LiDAR sensor reconstructions
When not to use it
- Keeping the photo photorealistic — this is a full depth-scan reinterpretation
- Colorful neon, synthwave or cyberpunk hologram looks
- Adding HUD panels, radar circles, targeting graphics or on-screen text
- Scenes where fine printed text or small labels must stay readable
How it works
Upload a photo and upsa rebuilds the scene as a LiDAR-style depth reconstruction. The composition, camera angle and subject placement from your original are used as a strict structural guide, so nothing is redesigned. Every surface is then re-expressed as layered depth points whose density follows real distance — dense and sharp near the sensor, sparse and noisy far away. Your subject's identity and silhouette are preserved throughout, and the output is delivered as a clean, full-frame image.
Specifications
- Approach
- Reconstructs the scene as a LiDAR-style depth point-cloud capture while preserving its structure.
- Stylization
- Surfaces rebuilt from layered volumetric depth points; restrained cyan-to-navy sensor palette; physically grounded, non-cinematic lighting.
- What stays
- Composition, camera angle, perspective, subject identity, body proportions, silhouette and pose readability.
- What changes
- Surfaces become dense depth points; distance turns sparse and noisy; color shifts to a technical sensor palette.
- Ideal source
- Photos with clear depth and spatial structure — streets, vehicles, cityscapes or a well-lit subject against a readable background.
- Maximum input
- Up to 25 MP per image
- Supported formats
- JPEG, PNG, HEIC
- Output format
- PNG — preserves the fine point-cloud detail and smooth depth gradients without compression artifacts.
- Pricing
- 2 credits per image
Frequently asked questions
Will the person in my photo still be recognizable?
Yes. LiDAR Scan preserves identity, body proportions, silhouette, pose and facial direction. The subject is reconstructed through layered depth points, but stays fully readable as the same person — no hologram or robotic redesign.
Does this turn my photo into a sci-fi or cyberpunk image?
No. The style is deliberately restrained and technical — it mimics a real autonomous-vehicle depth sensor, not a neon hologram. Expect soft cyan, teal and navy depth gradients rather than glowing energy grids or Tron-style visuals.
Will it add HUD panels, radar circles or text?
No. The frame is filled edge-to-edge with the raw sensor reconstruction itself. There are no interface overlays, targeting graphics, telemetry borders or any numbers, labels or text.
What kind of photo works best?
Photos with clear depth and spatial structure work best — streets, vehicles, cityscapes, or a well-lit subject against a background that reads clearly. The model uses real distance to vary point density, so depth in the scene makes the effect stronger.
Will my photo be cropped or its aspect ratio changed?
The model keeps your original composition, framing and perspective as a strict structural guide, so subject placement and proportions are maintained. The result is delivered in upsa's standard output framing.
Can I use the result commercially?
Yes — generated images on upsa are yours to use for personal and commercial purposes. We recommend you keep the consent and rights to the source photo as well, since the output preserves the identity in it.
How long are my photos stored?
Source uploads and generated results are stored for 48 and then automatically deleted from upsa's storage. We don't train any model on your photos.
AI results vary
Each generation uses a different random seed, so your result may not exactly match the example shown. If the first try doesn't fit what you had in mind, run it again — output differs noticeably between runs.
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Get Started
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