Today in Generative Media
The future of AI is video; genAI is inefficient; extract video clips using Munch
The future of AI is video, and it’s coming at us fast (TechCrunch)
We still haven’t cracked the code on making generative AI any more efficient (FastCompany)
Extract the most engaging and impactful clips from your long-form videos using Munch, the #1 AI video repurposing platform (getmunch.com)
3D humans from a photo: the data needed to train Volograms AI (Medium)
AudioCraft is a single-stop code base for all your generative audio needs: music, sound effects, and compression after training on raw audio signals. (Meta) Code on GitHub.
GeNVS: Generative Novel View Synthesis with 3D-Aware Diffusion Models (ICCV 2023, project page)
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation (arXiv)
RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects (arXiv)
today’s work on post-photography (gen.ericai on X)