SV4D 2.0: Enhancing Spatio-Temporal Consistency in Multi-View Video Diffusion for High-Quality 4D Generation
On the map: Diffusion models → 3D, point cloud and scene generation
Abstract (arXiv)
We present Stable Video 4D 2.0 (SV4D 2.0), a multi-view video diffusion model for dynamic 3D asset generation. Compared to its predecessor SV4D, SV4D 2.0 is more robust to occlusions and large motion, generalizes better to real-world videos, and produces higher-quality outputs in terms of detail sharpness and spatio-temporal consistency. We achieve this by introducing key improvements in multiple aspects: 1) network architecture: eliminating the dependency of reference multi-views and designing blending mechanism for 3D and frame attention, 2) data: enhancing quality and quantity of training data, 3) training strategy: adopting progressive 3D-4D training for better generalization, and 4) 4D optimization: handling 3D inconsistency and large motion via 2-stage refinement and progressive frame sampling. Extensive experiments demonstrate significant performance gain by SV4D 2.0 both visually and quantitatively, achieving better detail (-14% LPIPS) and 4D consistency (-44% FV4D) in novel-view video synthesis and 4D optimization (-12% LPIPS and -24% FV4D) compared to SV4D. Project page: https://sv4d20.github.io.
Key facts. Cited by 44 papers in the map (data through 7 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 82 of its 88 references that are in the map. First posted on arXiv 20 Mar 2025.
Builds on
82 of 88 references.
Closest ancestors · 40
Same direction, newest first
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- 2024CT4D: Consistent Text-to-4D Generation with Animatable Meshes15 Aug
- 2024Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle28 Jul
- 2024SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency24 Jul
- 2024Animate3D: Animating Any 3D Model with Multi-view Video Diffusion16 Jul
- 20244Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models11 Jun
- 20244Diffusion: Multi-view Video Diffusion Model for 4D Generation31 May
28 more
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- 2024SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion18 Mar
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- 2023Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models21 Dec
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- 2023Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model10 Nov
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- 2023Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models4 Oct
- 2023SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D4 Oct
- 2023SyncDreamer: Generating Multiview-consistent Images from a Single-view Image7 Sep
- 2023MVDream: Multi-view Diffusion for 3D Generation31 Aug
- 2023HoloFusion: Towards Photo-realistic 3D Generative Modeling28 Aug
- 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization29 Jun
- 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation25 May
- 2023Zero-1-to-3: Zero-shot One Image to 3D Object20 Mar
- 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep
Other references · 42
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- 2023Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasetscited by 2,526
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- 2022Make-A-Video: Text-to-Video Generation without Text-Video Datacited by 1,725
- 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,522
- 2023Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Modelscited by 1,465
- 2020D-NeRF: Neural Radiance Fields for Dynamic Scenescited by 1,459
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- 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 837
- 2023LRM: Large Reconstruction Model for Single Image to 3Dcited by 834
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- 2022MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolationcited by 307
- 2023Text-to-3D using Gaussian Splattingcited by 299
- 2023LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matchingcited by 290
- 2023Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformerscited by 257
- 2023Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioningcited by 254
- 2024TripoSR: Fast 3D Object Reconstruction from a Single Imagecited by 227
- 2023Text-To-4D Dynamic Scene Generationcited by 204
- 2023DreamGaussian4D: Generative 4D Gaussian Splattingcited by 191
- 20234D-fy: Text-to-4D Generation Using Hybrid Score Distillation Samplingcited by 184
- 2023PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Predictioncited by 165
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- 2023Consistent4D: Consistent 360deg Dynamic Object Generation from Monocular Videocited by 124
- 2024GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creationcited by 99
- 2019The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentationcited by 95
- 2023LEAP: Liberate Sparse-view 3D Modeling from Camera Posescited by 65
- 2024GenXD: Generating Any 3D and 4D Scenescited by 49
- 2024Vivid-ZOO: Multi-View Video Generation with Diffusion Modelcited by 40
- 2023TOSS:High-quality Text-guided Novel View Synthesis from a Single Imagecited by 26
- 2023Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clippingcited by 17
- 2025AR4D: Autoregressive 4D Generation from Monocular Videoscited by 16
- 2024Birth and Death of a Rosecited by 7
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Citing papers per year: 2025: 20; 2026: 24.
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12 most cited of 34 All 34 (JSON)
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