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20.7 NeuGPU: A 18.5mJ/Iter Neural-Graphics Processing Unit for Instant-Modeling and Real-Time Rendering with Segmented-Hashing Architecture.

, , , , , , , , , and . ISSCC, page 372-374. IEEE, (2024)

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DSPU: An Efficient Deep Learning-Based Dense RGB-D Data Acquisition With Sensor Fusion and 3-D Perception SoC., , , , , , , , , and . IEEE J. Solid State Circuits, 58 (1): 177-188 (2023)20.7 NeuGPU: A 18.5mJ/Iter Neural-Graphics Processing Unit for Instant-Modeling and Real-Time Rendering with Segmented-Hashing Architecture., , , , , , , , , and . ISSCC, page 372-374. IEEE, (2024)DSPU: A 281.6mW Real-Time Deep Learning-Based Dense RGB-D Data Acquisition with Sensor Fusion and 3D Perception System-on-Chip., , , , , , , , , and . HCS, page 1-25. IEEE, (2022)A 15.9 mW 96.5 fps Memory-Efficient 3D Reconstruction Processor with Dilation-based TSDF Fusion and Block-Projection Cache System., , , , and . ISCAS, page 1-5. IEEE, (2023)A Low-Power Neural Graphics System for Instant 3D Modeling and Real-Time Rendering on Mobile AR/VR Devices., , , , , , , , , and 1 other author(s). COOL CHIPS, page 1-3. IEEE, (2024)A Mobile 3-D Object Recognition Processor With Deep-Learning-Based Monocular Depth Estimation., , , , , , , , , and . IEEE Micro, 43 (3): 74-82 (May 2023)A Low-power and Real-time 3D Object Recognition Processor with Dense RGB-D Data Acquisition in Mobile Platforms., , , , , , , , , and . COOL CHIPS, page 1-3. IEEE, (2022)