Exploring Dynamic Novel View Synthesis Technologies for Cinematography
원문 초록
Novel view synthesis (NVS) has shown significant promise for applications in cinematographic production, particularly through the exploitation of Neural Radiance Fields (NeRF) and Gaussian Splatting (GS). These methods model real 3D scenes, enabling the creation of new shots that are challenging to capture in the real world due to set topology or expensive equipment requirement. This innovation also offers cinematographic advantages such as smooth camera movements, virtual re-shoots, slow-motion effects, etc. This paper explores dynamic NVS with the aim of facilitating the model selection process. We showcase its potential through a short montage filmed using various NVS models.
함께 살펴볼 논문
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UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields
Self-Supervised Multimodal NeRF for Autonomous Driving
R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision
Speedy Deformable 3D Gaussian Splatting: Fast Rendering and Compression of Dynamic Scenes
Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction
GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis
토론
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