UniFixer is a universal reference-guided framework that fixes spatial, temporal, and backbone-related degradations in diffusion-based view synthesis via coarse-to-fine modules and achieves zero-shot SOTA results on novel view synthesis and stereo conversion.
Eye2eye: A simple approach for monocular-to-stereo video synthesis.arXiv preprint arXiv:2505.00135, 2025
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αDepth proposes a single-pass layered model with CAR for soft boundary decomposition to improve stereo conversion by estimating layered color and depth.
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UniFixer: A Universal Reference-Guided Fixer for Diffusion-Based View Synthesis
UniFixer is a universal reference-guided framework that fixes spatial, temporal, and backbone-related degradations in diffusion-based view synthesis via coarse-to-fine modules and achieves zero-shot SOTA results on novel view synthesis and stereo conversion.
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{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion
αDepth proposes a single-pass layered model with CAR for soft boundary decomposition to improve stereo conversion by estimating layered color and depth.