Gullet 发表于 2025-3-21 19:53:42
书目名称Computer Vision – ECCV 2024影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0242344<br><br> <br><br>书目名称Computer Vision – ECCV 2024影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0242344<br><br> <br><br>书目名称Computer Vision – ECCV 2024网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0242344<br><br> <br><br>书目名称Computer Vision – ECCV 2024网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0242344<br><br> <br><br>书目名称Computer Vision – ECCV 2024被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0242344<br><br> <br><br>书目名称Computer Vision – ECCV 2024被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0242344<br><br> <br><br>书目名称Computer Vision – ECCV 2024年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0242344<br><br> <br><br>书目名称Computer Vision – ECCV 2024年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0242344<br><br> <br><br>书目名称Computer Vision – ECCV 2024读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0242344<br><br> <br><br>书目名称Computer Vision – ECCV 2024读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0242344<br><br> <br><br>冷漠 发表于 2025-3-21 22:59:26
http://reply.papertrans.cn/25/2424/242344/242344_2.png欺骗世家 发表于 2025-3-22 03:17:30
Data Collection-Free Masked Video Modeling,cerns related to privacy, licensing, and inherent biases. Synthesizing data is one of the promising ways to solve these issues, yet pre-training solely on synthetic data has its own challenges. In this paper, we introduce an effective self-supervised learning framework for videos that leverages read人类学家 发表于 2025-3-22 06:00:54
,Protecting NeRFs’ Copyright via Plug-And-Play Watermarking Base Model,s intellectual property has become increasingly important. In this paper, we propose ., which adopts a plug-and-play strategy to protect NeRF’s copyright during its creation. NeRFProtector utilizes a pre-trained watermarking base model, enabling NeRF creators to embed binary messages directly while追踪 发表于 2025-3-22 10:44:28
,Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization,pre-trained text-to-image stable diffusion models provide a potential solution to the challenging realistic image super-resolution (Real-ISR) and image stylization problems with their strong generative priors. However, the existing methods along this line often fail to keep faithful pixel-wise imagechisel 发表于 2025-3-22 13:34:46
http://reply.papertrans.cn/25/2424/242344/242344_6.pngchisel 发表于 2025-3-22 19:30:16
http://reply.papertrans.cn/25/2424/242344/242344_7.png情节剧 发表于 2025-3-23 00:45:02
,AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion,l structure of the object and reconstructs local details. To this end, we propose a global perception and local attention network, termed AEDNet, for point cloud completion. The proposed AEDNet utilizes designed adaptive point cloud embedding and disentanglement (AED) module in both the encoder and光滑 发表于 2025-3-23 03:28:41
,Synergy of Sight and Semantics: Visual Intention Understanding with CLIP,esource-intensive annotation process. Current leading approaches are held back by the limited amount of labeled data. To mitigate the scarcity of annotated data, we leverage the Contrastive Language-Image Pre-training (CLIP) model, renowned for its wealth knowledge in textual and visual modalities.乐章 发表于 2025-3-23 08:19:18
http://reply.papertrans.cn/25/2424/242344/242344_10.png