instate 发表于 2025-3-23 12:48:32
http://reply.papertrans.cn/25/2424/242311/242311_11.pngJOG 发表于 2025-3-23 15:09:43
http://reply.papertrans.cn/25/2424/242311/242311_12.png去掉 发表于 2025-3-23 21:13:20
,Plug-and-Play Learned Proximal Trajectory for 3D Sparse-View X-Ray Computed Tomography,ian denoising algorithms to solve complex optimization problems. This work focuses on the challenging task of 3D sparse-view X-ray computed tomography (CT). We propose to replace the Gaussian denoising network in Plug-and-Play with a restoration network, ..a network trained to remove arbitrary artifAllowance 发表于 2025-3-24 00:40:47
http://reply.papertrans.cn/25/2424/242311/242311_14.pngNUDGE 发表于 2025-3-24 03:05:21
http://reply.papertrans.cn/25/2424/242311/242311_15.pngascend 发表于 2025-3-24 08:22:47
http://reply.papertrans.cn/25/2424/242311/242311_16.pngAprope 发表于 2025-3-24 12:15:28
,Temporal Event Stereo via Joint Learning with Stereoscopic Flow,ow power consumption. These features make them capable of perceiving 3D environments even in extreme conditions. Event data is continuous across the time dimension, which allows a detailed description of each pixel’s movements. To fully utilize the temporally dense and continuous nature of event camLEERY 发表于 2025-3-24 17:20:47
http://reply.papertrans.cn/25/2424/242311/242311_18.pngtackle 发表于 2025-3-24 22:29:28
http://reply.papertrans.cn/25/2424/242311/242311_19.pngIrascible 发表于 2025-3-25 01:16:20
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