You know how image generation went from blurry 32x32 texture patches to high-resolution images that are difficult to distinguish from real in roughly a snap of a finger? The same is now happening along the time axis (extending to video) and the repercussions boggle the mind just a bit. Every human becomes a director of multi-modal dreams, like the architect in Inception.
Coming back to Earth for a second, image/video generation is a perfect match for data-hungry neural nets because data is plentiful, and the pixels of each image or video are a huge source of bits (soft constraints) on the parameters of the network. When you're training giant neural nets in supervision-rich settings, your train loss = validation loss, and life is so good.
My favorite place to keep an eye on the AI video space unfold atm is probably https://t.co/l1xRaq71C4 , or the individual Discords.
The Stable Video Diffusion model just dropped 🔥
The new model supports:
– Text-to-Video
– Image-to-Video
– 14 or 25 frames at 576 x 1024
– Multi-View Generation
– Frame Interpolation
– 3D Scene Understanding
– Camera Control via LoRA
Paper: https://t.co/viLhcbQ3oN
Code: https://t.co/J5SvRDJnD9
SVD model: https://t.co/5ipFQyXHoU
SVD-XT model: https://t.co/GCsqmptnrE
Imagine winning an award for enhancing people's psychedelic experience at a music festival. 🧬 🏆
#vr#experientialmarketing
Read more here: https://t.co/Ho2zximGWL
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This week our members get to meet @phassall in our online community. Join: https://t.co/WDpSdiP3IM #aSft
𝐒𝐩𝐚𝐜𝐞𝐝.
We often find ourselves looking down
Trying to find meaning in what's not around
Never forget the reason we were born
We are the universe in human form.
10.10.20
“Repetition is the mother of learning, the father of action, which makes it the architect of accomplishment." Truth bombs being dropped by — William Rankin https://t.co/0mcMkhYlDb Thanks for the link @AdrianoDiPrato