These models should be used when working with interlaced footage that has been previously incorrectly transcoded to progressive. Dione DeHaloĭione TV variant that specializes in removing halo and fringing. Trained for analog videos from older TVs, camcorders, DVDs, and SD footage (480i, 576i, etc.). Trained for digital video footage like DV, DVCPRO, DVCAM, 720i, and 1080i. This model can be used with both Interlaced and Progressive videos. This model has been specifically trained on face recovery for low-to-medium quality input videos. General enhancement model for reducing noise and compression artifacts. The Dione models are used to deinterlace interlaced files and upscale using a single AI model. Achieved by breaking up each full frame of a video into alternating lines taken from two separate fields that were captured at slightly different times.
Interlaced: Deinterlace and enhance + upscale footage with a combined model.Choose the appropriate input footage type for the best results.
