KEEP: Kalman-Inspired Face Super-Resolution
Discover KEEP for advanced video face super-resolution. Ready to experience the power of AI? Start your journey here!
🚀Function Overview
A deep learning model that enhances video quality by super-resolving faces using Kalman-inspired feature propagation, with options to restore background and upscale facial features for coherent frame-to-frame results.
Key Features
- Uses KEEP algorithm for temporal-consistent face super-resolution
- Supports facial landmark detection and alignment
- Optional RealESRGAN integration for face/background enhancement
- Configurable batch processing for long videos
- Face cropping and alignment controls for pre-processed videos
Use Cases
- •Restoring old or low-resolution personal videos
- •Enhancing video conference/streaming quality
- •Improving facial clarity in archival footage
- •Pre-processing for AI-based video analysis
- •Upscaling social media content
⚙️Input Parameters
input_video
stringInput video file
draw_box
booleanDraw box around detected faces
bg_enhancement
booleanEnable background enhancement using RealESRGAN
upscale
integerUpscaling factor for enhancement
max_length
integerMaximum number of frames to process in one batch for KEEP model
has_aligned
booleanSet to true if faces in the video are already aligned and cropped (512x512)
only_center_face
booleanProcess only the center face if multiple faces are detected
detection_model
stringFace detection model to use
face_upsample
booleanUpsample restored faces using RealESRGAN
bg_tile
integerTile size for background upsampler
save_video_fps
numberFPS for the output video. If None, uses original FPS
💡Usage Examples
Example 1
Input Parameters
{ "draw_box": true, "input_video": "https://api.replicate.com/v1/files/YmFjMzJiY2YtY2ViMC00MjJjLTg0MTItYWFmYmU4NGYyOGU1", "bg_enhancement": false }
Quick Actions
Technical Specifications
- Hardware Type
- L40S
- Run Count
- 68
- Commercial Use
- Supported
- Platform
- Replicate
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