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Found 3 papers, 2 papers with code
NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer
By harnessing the potent generative capabilities of pre-trained large video diffusion models, we propose NVS-Solver, a new novel view synthesis (NVS) paradigm that operates \textit{without} the need for training.
Decoupling Dynamic Monocular Videos for Dynamic View Synthesis
Such a fine-grained motion formulation can alleviate the learning difficulty for the network, thus enabling it to produce not only novel views with higher quality but also more accurate scene flows and depth than existing methods requiring extra supervision.
Learning A Locally Unified 3D Point Cloud for View Synthesis
To tackle this challenging problem, we propose a new deep learning-based view synthesis paradigm that learns a locally unified 3D point cloud from source views.
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