Hd - Video60hd.mp4 - In the "Draft Paper" version or the supplemental materials of this research: The filename is a specific asset used in the research paper "Deep Bilateral Learning for Real-Time Image Enhancement" by Gharbi et al. (presented at SIGGRAPH 2017). HD - video60HD.mp4 : The paper introduces a neural network that predicts bilateral control points , which are then used to apply local color transformations in a way that preserves edges. In the "Draft Paper" version or the supplemental : The video is used to showcase the model's ability to process High Definition (1080p) content at high frame rates (over 60 FPS) on a mobile device. : The video is used to showcase the The video illustrates the from a professional retouching example to raw footage. It highlights the lack of "flicker" or temporal artifacts, a common issue in frame-by-frame video processing that this specific method solves using its bilateral grid approach.