Now your dataset has short video clips of faces showing an e…

Now your dataset has short video clips of faces showing an expression transition (e.g., neutral → smile). Some clips are shot in low-light conditions. You attempt: GAN to brighten or color-correct frames, AE for further denoising or super-resolution, CNN for expression classification across frames. After some usage, you realize certain frames come out “over-bright” or “washed out.” — Why might the pipeline produce inconsistent brightness across consecutive frames?