Abstract: Highlights•A novel NeRF method using spatial feature maps to improve sparse view synthesis.•Concurrently learning both feature & color fields with pixel-level loss supervisions.•A fusion scheme regularizing color prediction with learned features as condition guide.•Extensive tests validate the performance and model-agnostic advantages of the method.
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