4DAnyone generates multiview videos and 4D Gaussian Splatting from casual monocular footage, with a Turbo checkpoint that runs in about 27 seconds for a 121-frame clip on an RTX 4090. The system uses a 3D skeleton as geometric reference and introduces Reference Context Packing and Target Context Routing for consistency.
Key points
22GB peak CUDA memory for video generation on RTX 4090.
Turbo mode is 5.58× faster than the Base version, using four denoising steps.
Sources
- Original post
- 4DAnyone: Create Anyone in 4D from a Casual Monocular Video - Linked page
- github.com - Linked in the post
Incremental path to a software factory, levels 0-8
Incremental path to a software factory outlines eight levels from guardrails to self-learning. It shows how automation expands from prompt guards to release pipelines and bug fixing agents.
Key points
Level 0: implement strong automated guardrails.
Level 6: configure release pipeline to release code upon merge, deploying features in phases for safety.