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Cross-object alignment among geometrically similar interaction regions during training enables structures on unseen objects that resemble previously observed ones to produce representations similar to those learned during training, facilitating target-region recognition.
We present Light Field Primitives (LFP), a formulation for novel view synthesis that replaces the dense ray database with a compact set of differentiable primitives in the classical two-plane parameterization. Each primitive condenses a group of rays into one learned record, and its response to a query is governed by h...
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