Multi-Model Pipeline

Three specialized neural networks process your image in sequence: denoising, face restoration, and general sharpening. Each model handles its domain — the combined result outperforms any single model.
Upload any degraded photo — blurry, noisy, over-compressed, or just old — and the AI analyzes each region separately: face restoration, background denoising, edge sharpening, and color correction run as parallel processes. The result is a cleaner, sharper version of your original in 3–5 seconds.

Drag your image into the upload zone or click to browse. Any image works — phone screenshots, old scans, compressed downloads, low-light shots. The AI handles all degradation types automatically.

Choose General for all-purpose improvement, Face mode for portrait-focused restoration (uses dedicated face models), or Old Photo mode for scanned prints with scratches, fading, and color shift. Each mode applies a different model pipeline optimized for that degradation type.

Compare the before/after with an interactive slider. Download the enhanced version at original resolution. Face mode outputs include sharpened facial features while preserving natural skin texture — no over-smoothing.
AI photo enhancement combines multiple neural networks in a single pipeline, each targeting a specific type of image degradation. Unlike simple sharpening filters that amplify noise along with detail, these models understand image structure and can distinguish between actual detail and artifacts.
The standard pipeline in 2026 uses three models in sequence. First, a denoising model (based on NAFNet or Restormer architecture) removes sensor noise, compression artifacts, and color banding while preserving genuine texture. Second, a face restoration model (GFPGAN or CodeFormer) specifically enhances facial features — reconstructing eyes, smoothing skin without removing pores, and sharpening hair detail. This model only activates on detected face regions. Third, a general enhancement pass (Real-ESRGAN at 1x scale, or SwinIR) sharpens edges, improves contrast, and corrects minor color shifts across the entire image.
For old photo restoration, an additional preprocessing step handles scratch removal, fold artifact suppression, and color rebalancing before the main enhancement pipeline runs.

Three specialized neural networks process your image in sequence: denoising, face restoration, and general sharpening. Each model handles its domain — the combined result outperforms any single model.

Detected faces receive dedicated restoration through GFPGAN or CodeFormer. Eyes, lips, and hair are reconstructed at detail levels that general enhancement models cannot match — without the plastic, over-smoothed look of basic beauty filters.

Scanned prints with scratches, folds, and color fading get a preprocessing pass that removes physical damage before the AI enhancement runs. The result preserves the photo's character while removing decades of degradation.

The AI distinguishes between genuine image detail and noise. Skin retains its natural pore texture, fabrics keep their weave pattern, and backgrounds maintain their depth of field — no halo artifacts, no ringing around edges.

Choose General for everyday photos, Face for portraits, or Old Photo for scanned prints. Each mode activates a different model configuration optimized for that specific degradation pattern.

Enhancement runs on cloud GPUs and returns results in 3–5 seconds. No app to install, no hardware requirements — any browser on any device.
One subscription covers every tool on Undress.app.
AI enhancement significantly improves photos with moderate blur, compression artifacts, and noise. Slight motion blur and out-of-focus softness are correctable. However, extreme motion blur (long streaks) or completely out-of-focus images cannot be fully restored — the AI can sharpen what's partially visible but cannot reconstruct information that was never captured.
General mode applies a balanced pipeline suitable for most images. Face mode activates dedicated face restoration at maximum strength — best for portraits where facial clarity matters most. Old Photo mode adds a preprocessing step that removes scratches, folds, and color fading from scanned prints before enhancement.
The AI preserves the original color profile and white balance. Minor color correction may occur when removing compression color banding or restoring faded old photos, but the output stays true to the source. No Instagram-style filters are applied.
The free tier includes 3 enhancements per day at full resolution with no watermarks. All three processing modes are available on free tier. Premium plans increase daily limits and add batch processing.
Yes. Screenshots with compression artifacts, images saved at low JPEG quality, and photos from messaging apps (which compress images heavily) all benefit from the denoising and sharpening pipeline. The AI removes JPEG blocks and restores lost detail.