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pith:2024:QUBC5UMTDPBC4QFEYWLPFN5E77
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CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation

Arash Vahdat, Chao Liu, Dejia Xu, Jan Kautz, Sifei Liu, Weili Nie, Zhangyang Wang

CamCo adds precise camera pose control to image-to-video generation while enforcing 3D consistency across frames.

arxiv:2406.02509 v1 · 2024-06-04 · cs.CV

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3 Author claim open · sign in to claim
4 Citations open
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Claims

C1strongest claim

Our experiments show that CamCo significantly improves 3D consistency and camera control capabilities compared to previous models while effectively generating plausible object motion.

C2weakest assumption

That the epipolar attention module will enforce geometric consistency across frames without introducing new artifacts or reducing visual quality, and that fine-tuning on SfM-estimated poses from real videos will transfer to user-specified camera trajectories at inference time.

C3one line summary

CamCo equips image-to-video generators with Plücker-coordinate camera inputs and epipolar attention to improve 3D consistency and camera controllability.

References

63 extracted · 63 resolved · 17 Pith anchors

[1] Stable video diffusion: Scaling latent video diffu- sion models to large datasets 2023
[2] Frozen in time: A joint video and image encoder for end-to-end retrieval 2021
[3] Improving image generation with better captions 2023
[4] Align your latents: High-resolution video synthesis with latent diffusion models 2023
[5] Video generation models as world simulators 2024

Formal links

2 machine-checked theorem links

Cited by

24 papers in Pith

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First computed 2026-05-17T23:38:46.805055Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

85022ed1931bc22e40a4c596f2b7a4ffccf4e8ac3491af192700fa19049f38e4

Aliases

arxiv: 2406.02509 · arxiv_version: 2406.02509v1 · doi: 10.48550/arxiv.2406.02509 · pith_short_12: QUBC5UMTDPBC · pith_short_16: QUBC5UMTDPBC4QFE · pith_short_8: QUBC5UMT
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/QUBC5UMTDPBC4QFEYWLPFN5E77 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 85022ed1931bc22e40a4c596f2b7a4ffccf4e8ac3491af192700fa19049f38e4
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2024-06-04T17:27:19Z",
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