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Bird Animation Model

2023

A GAN that synthesizes animated bird-flight sequences from real images.

  • PyTorch
  • YOLOv5
  • CNN
  • GAN
  • OpenCV
  • CUDA
images processed
18,000+
training time
3× faster (CUDA)

/ the problem

Synthesizing believable animated bird-flight sequences means first extracting clean subjects from thousands of noisy real photos, then learning the temporal motion of flight — not just a static pose.

/ approach

  • YOLOv5 preprocessing pipeline to extract bird features from 18,000+ real images
  • CNN feature extractor feeding a GAN that synthesizes animated flight sequences
  • CUDA parallelization of the training loop

/ results

  • 18,000+ images processed through the extraction pipeline
  • 3× reduction in training time via CUDA
  • Synthesized animated flight sequences from static inputs

/ architecture

Real images
YOLOv5 extraction
CNN features
GAN synthesis
animated flight sequences

CUDA-accelerated training.

/ media

GAN-synthesized bird in flapping flight — a motion sequence generated by the model, not a real recording
Another bird synthesized by the model — the generator resolving a detailed subject from the learned distribution

/ links