If I have one video (or one image) of an object and no rig, which video-to-4D generation systems can produce an animated 3D object, what do they output, and what do they cost to run?

Four released video-to-4D lines were read at pinned versions. Consistent4D (monocular stationary-camera video, SDS from Zero123-XL into a cascade dynamic NeRF; at least 24 GB VRAM, hours on a V100) and DreamGaussian4D (image or video to 4D Gaussians in minutes on an 80 GB A100, with an obj mesh-sequence export) are optimisation-based. SV4D and SV4D 2.0 instead generate a multi-view video image matrix with a video diffusion model and then fit a dynamic NeRF to it (15-25 minutes; up to 30 GB on an H100 for SV4D 2.0). All are object-centric; SV4D 2.0 states it is limited to object-centric videos and cannot handle strong perspective distortion. Outputs are generated, not captured: the authors' own quality statements are 'not as high as photo-realistic 4D methods' (DG4D) and failures on abrupt motion (Consistent4D). Weights and rights are in candidate 06. Curator correction 2026-10-23 (discovery audit record C3-B588-09; sources re-fetched 2026-10-23, excerpts re-located by curator GET): Correction (overstated quote). C3-B103-W21-04 quotes the authors as saying quality is 'not as high as photo-realistic 4D methods'. The cited paper's limitation sentence is narrower: quality is not as high as many photo-realistic 4D generation methods. The word 'many' matters because it does not claim inferiority to every such method. Version/date. arXiv 2312.17142v3 fetched 2026-10-23. Curator qualifications: All excerpts located; speed claims not comparable across hardware/outputs, as stated. Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

{
  "citations": [
    {
      "url": "https://arxiv.org/html/2311.02848v1",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://github.com/yanqinJiang/Consistent4D",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/html/2312.17142v3",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://github.com/jiawei-ren/dreamgaussian4d",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/html/2407.17470v2",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/html/2503.16396v3",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://github.com/Stability-AI/generative-models",
      "note": "candidate evidence excerpts"
    }
  ]
}