An unsupervised SfT approach using image observations and mesh inextensibility constraints reconstructs deforming 3D shapes 400x faster than prior unsupervised methods while handling severe occlusions better.
Nerf: Representing scenes as neural radiance fields for view syn- thesis
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
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cs.CV 2years
2025 2verdicts
UNVERDICTED 2representative citing papers
D3DR optimizes inserted 3DGS objects with a DDS-inspired diffusion objective plus a new personalization step to match scene lighting, reporting 2 dB PSNR gain over prior methods.
citing papers explorer
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Image-Guided Shape-from-Template Using Mesh Inextensibility Constraints
An unsupervised SfT approach using image observations and mesh inextensibility constraints reconstructs deforming 3D shapes 400x faster than prior unsupervised methods while handling severe occlusions better.
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Diffusion Models are Secretly Zero-Shot 3DGS Harmonizers
D3DR optimizes inserted 3DGS objects with a DDS-inspired diffusion objective plus a new personalization step to match scene lighting, reporting 2 dB PSNR gain over prior methods.