Abstract: Implicit Neural Representations (INRs) have demonstrated significant potential in video compression by representing videos as neural networks. However, as the number of frames increases, the ...
Learn how to convert existing articles into short-form video scripts using platform-tested structures, retention strategies, ...
The race to dominate AI video tools is heating up. After Chinese company Kuaishou launched Kling 3.0 last week, ByteDance — ...
Dot Physics on MSN
Fast and simple way to make animated GIFs on Mac with Compressor
Fast-track your creative workflow with a fast and simple method for making animated GIFs on Mac using Compressor. In this video, you’ll learn step-by-step how to convert video clips into high-quality ...
The easiest benefit to spot is that, as in Raw photos, Raw video typically doesn't apply multipliers to its color channels ...
Dot Physics on MSN
Understanding physics: Heavy crate falling on spring
Explore mechanics in action with **“Understanding Physics: Heavy Crate Falling On Spring.”** In this video, we break down the physics of a heavy crate dropping onto a spring, covering concepts like ...
AOMedia AV2 video codec draft specification release, and a quick try at the reference implementation
After 5 years of work and over 2700 commits against the reference software, the Alliance for Open Media (AOMedia) has ...
Abstract: The Conditional Coding-based Learned Video Compression (CC-LVC) has become an important paradigm in learned video compression, because it can effectively explore spatial-temporal ...
A serene night scene in a forested area. [...] The video is a time-lapse, capturing the transition from day to night, with the lake and forest serving as a constant backdrop. A soaring drone footage ...
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