GenWildSplat is a feed-forward model that reconstructs 3D Gaussians from sparse unposed unconstrained images by predicting depth and poses with learned priors, an appearance adapter, and semantic segmentation for transients.
High-resolution image syn- thesis with latent diffusion models
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The NTIRE 2026 real-world face restoration challenge report details outcomes from 9 valid team submissions advancing perceptual quality and identity consistency in degraded face images.
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Generalizable Sparse-View 3D Reconstruction from Unconstrained Images
GenWildSplat is a feed-forward model that reconstructs 3D Gaussians from sparse unposed unconstrained images by predicting depth and poses with learned priors, an appearance adapter, and semantic segmentation for transients.
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The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results
The NTIRE 2026 real-world face restoration challenge report details outcomes from 9 valid team submissions advancing perceptual quality and identity consistency in degraded face images.