Viewformer: Nerf-free neural rendering from few images using transformers
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Viewformer is a NeRF-free neural rendering method that uses transformers to synthesize novel views from few sparsely covering context images.
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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Viewformer is a NeRF-free neural rendering method that uses transformers to synthesize novel views from few sparsely covering context images.
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FreeNeRF introduces free frequency regularization to improve few-shot neural rendering by addressing frequency-related challenges in NeRF training.
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SSDNeRF unifies 3D generation and reconstruction by conjoining a triplane NeRF auto-decoder with a single-stage diffusion model.
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FastNeRF achieves high-fidelity neural rendering at 200fps by decomposing the neural radiance field into position-dependent and view-dependent components for efficient caching.