wenqsun/DimensionX

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1333 stars · 77 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DimensionX is a research framework that generates photorealistic 3D and 4D scenes from a single image using controllable video diffusion models. It decouples spatial and temporal factors in video diffusion via ST-Director LoRA adapters to enable precise camera trajectory and dynamics control.

Use cases

• generate a 3D scene from a single photo
• create 4D dynamic scenes from one image
• control camera orbit in video diffusion output
• reconstruct 3D from generated video frames
• train custom camera-control LoRA for video diffusion
• run video diffusion research on scene generation

When to choose

• you need 3D/4D scene generation from a single image
• you want controllable camera trajectories in video diffusion
• you need state-of-the-art decoupled spatial-temporal video generation research code

When to avoid

• you need production-ready real-time 3D rendering
• you lack a GPU or cannot run large diffusion models
• you only need simple image-to-video without 3D/4D reconstruction

Facets

library · maturity active

machine-learning deep-learning image-processing video-processing stable-diffusion graphics simulation computer-vision artificial-intelligence deep-learning graphics python video-diffusion 3d-reconstruction 4d-generation camera-control lora-adapters iccv-2025 research-code video gpu linux

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