Full-4D: Generating Full-Scope 4D Scenes from a Single-View Video

42d ago · Global · primary source: export.arxiv.org

A research team has proposed a framework to generate full-scope 4D scenes from a single-view video, addressing a problem long considered ill-posed due to the lack of multi-angle information in a single recording. The work, submitted on 25 May 2026, tackles the challenge of reconstructing a complete, dynamic 3D scene over time from a single camera feed [1]. The authors note that existing methods are typically limited to monocular videos, simple 3D effects, or only small viewpoint perturbations around the original viewpoint, falling short of true 4D generation [2]. A core obstacle has been the absence of large-scale datasets that capture full-scope 4D scenes with synchronized multi-view videos [2]. To address this, the team introduces Real-MV-4D, a large-scale dataset of synchronized multi-view videos captured in diverse real-world environments to provide the necessary 4D supervision [2]. The framework casts full-scope 4D generation as a two-stage process: multi-view video synthesis followed by optimization-based 4D reconstruction from the generated views [2]. A multi-view video diffusion model is trained with a novel fused time-view attention mechanism that directly embeds geometric reprojection priors and explicit camera conditioning into its view-time interactions [2]. Unlike basic feature fusion, this direct binding strictly aligns the generation process with physical 3D priors to produce a dense, synchronized time-by-view video grid [2]. The synthesized multi-view videos are then lifted into an explicit 4D representation, specifically 4D Gaussian Splatting, and regularized by a Flow Matching Distillation loss that exploits the multi-view prior to improve novel-view rendering [2]. The concept of synthesizing multiple viewpoints from limited input data echoes historical efforts in stereoscopic imaging. Active shutter 3D systems, for instance, present alternating left-eye and right-eye images so rapidly that the brain fuses them into a single 3D image, using liquid crystal shutter glasses that become opaque when voltage is applied [4]. The broader history of film technology shows that 3D film techniques have existed from the beginning of cinema but only became a standard option in most movie theaters during the first decades of the 21st century [5]. The researchers report that extensive experiments demonstrate their method outperforms existing approaches in both visual fidelity and geometric consistency, enabling full-scope 4D scene generation from single-view videos [2]. The paper is hosted on arXiv, and associated code and data are linked through platforms including Hugging Face and ScienceCast [1].

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Background sources we checked (4)
  • arxiv.org ↗ Generating 4D scenes from a single-view video is inherently ill-posed: a single viewpoint lacks the information needed to recover a complete, dynamic scene with full coverage. Existing methods are typically limited to monocular videos, simple 3D effects, or only small viewpoint p…
  • en.wikipedia.org ↗ Tesla Autopilot is an advanced driver-assistance system (ADAS) developed by Tesla, Inc. that provides partial vehicle automation, corresponding to Level 2 automation as defined by SAE International. All Tesla vehicles produced after April 2019 include Autopilot, which provides au…
  • en.wikipedia.org ↗ An active shutter 3D system (a.k.a. alternate frame sequencing, alternate image, AI, alternating field, field sequential or eclipse method) is a technique for displaying stereoscopic 3D images. It works by only presenting the image intended for the left eye while blocking the rig…
  • en.wikipedia.org ↗ The history of film technology traces the development of techniques for the recording, construction and presentation of motion pictures. When the film medium came about in the 19th century, there already was a centuries old tradition of screening moving images through shadow play…

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