BILL 发表于 2025-3-23 12:13:30
,Real-Time Neural Character Rendering with Pose-Guided Multiplane Images,portable camera rig to capture the multi-view images along with the driving signal for the moving subject. Our method generalizes the image-to-image translation paradigm, which translates the human pose to a 3D scene representation—MPIs that can be rendered in free viewpoints, using the multi-views不公开 发表于 2025-3-23 14:34:47
http://reply.papertrans.cn/24/2343/234256/234256_12.png启发 发表于 2025-3-23 20:17:32
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth,ynamic scenes due to the mismatch and occlusion problems introduced by object motions. Existing dynamic-object-focused methods only partially solved the mismatch problem at the training loss level. In this paper, we accordingly propose a novel multi-frame monocular depth prediction method to solve tNeuralgia 发表于 2025-3-24 00:46:59
http://reply.papertrans.cn/24/2343/234256/234256_14.pngatopic-rhinitis 发表于 2025-3-24 04:39:38
Context-Enhanced Stereo Transformer,azardous regions, such as large uniform regions. To overcome these limitations, we propose Context Enhanced Path (CEP). CEP improves the generalization and robustness against common failure cases in existing solutions by capturing the long-range global information. We construct our stereo depth estiFoment 发表于 2025-3-24 10:02:21
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching,on for other datasets or focus on handling the cross-domain generalization by suppressing the domain sensitive features which results in a significant sacrifice on the performance. To tackle these problems, we propose PCW-Net, a .yramid .ombination and .arping cost volume-based network to achieve go发生 发表于 2025-3-24 14:37:45
,Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images, high-quality object models or require additional depth maps or object masks in test time, which significantly limits their application scope. In contrast, our pose estimator only requires some posed images of the unseen object and is able to accurately predict poses of the object in arbitrary envir鞠躬 发表于 2025-3-24 16:28:34
Latency-Aware Collaborative Perception,rception methods usually consider an ideal communication environment. However, in practice, the communication system inevitably suffers from latency issues, causing potential performance degradation and high risks in safety-critical applications, such as autonomous driving. To mitigate the effect ca残暴 发表于 2025-3-24 22:02:55
http://reply.papertrans.cn/24/2343/234256/234256_19.png敬礼 发表于 2025-3-24 23:19:26
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