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A Reinforcement Learning Environment for Automatic Code Optimization in MLIR

matt_d Sunday, March 01, 2026
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This paper presents a novel deep learning model for generating high-fidelity 3D reconstructions from single 2D images. The model achieves state-of-the-art performance on several benchmark datasets, showcasing its potential for applications in computer vision and graphics.
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arxiv.org
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