--- license: mit tags: - diffusion - video-generation - implicit-neural-representation - dit --- # INR-DiT Video A from-scratch generative video pipeline that **diffuses a neural representation, not pixels**.  *Faces generated from pure noise — only a grid of neural-network codes was diffused.* **Pipeline:** noise → DiT (generates a latent grid) → INR decoder (renders patches) → video | 1,000 steps | 6,000 steps | 12,000 steps | |:-:|:-:|:-:| |  |  |  | *Structure emerging over training.* | file | what it is | |------|------------| | `bet2_grid.pt` | shared INR decoder + 337 latent grids (8×8×8 × 32-dim) | | `dit_012000.pt` | diffusion transformer over the grid cells | **Code & full write-up:** https://github.com/BOB-THE-BUILDER-in/inr-dit-video Trained on HDTF (not redistributed): https://github.com/MRzzm/HDTF
