A multi-view diffusion model generates consistent novel views from sparse images to enable fast 3D scene reconstruction.
State of the art on diffusion models for visual computing
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2024 2verdicts
CONDITIONAL 2representative citing papers
Biased noise sampling for rectified flows combined with a bidirectional text-image transformer architecture yields state-of-the-art high-resolution text-to-image results that scale predictably with model size.
citing papers explorer
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CAT3D: Create Anything in 3D with Multi-View Diffusion Models
A multi-view diffusion model generates consistent novel views from sparse images to enable fast 3D scene reconstruction.
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Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Biased noise sampling for rectified flows combined with a bidirectional text-image transformer architecture yields state-of-the-art high-resolution text-to-image results that scale predictably with model size.