technique
feed-forward transformer
techniqueactiveprovisional
feed-forward-transformer-806122d9·1 events·first seen 16d agoAliases: feed-forward transformer
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FeedForward submodulecausal transformertransformer architectureautoregressive transformerFeedforward Neural NetworksDifferential TransformerVariable-Width Transformersflow-matching diffusion transformerTraining-Free Looped TransformersLinear Diffusion TransformerConditional Diffusion TransformerUniversal Physics Transformer (UPT)
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RayDer: Scalable Self-Supervised Novel View Synthesis via Unified Feed-Forward Transformer
RayDer is a unified feed-forward transformer that consolidates camera estimation, scene reconstruction, and rendering into a single backbone for self-supervised novel view synthesis (NVS). By treating dynamic content as a nuisance factor absorbed by a minimal dynamic state, it enables stable training on unconstrained real-world video without requiring dynamic-scene reconstruction. The model exhibits clean power-law scaling with both data and compute across multiple model sizes, and achieves zero-shot open-set performance competitive with supervised state-of-the-art methods on multiple benchmarks.