Capricious 发表于 2025-3-21 18:25:47
书目名称Computer Vision – ECCV 2024影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0242312<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=BK0242312<br><br> <br><br>书目名称Computer Vision – ECCV 2024网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0242312<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=BK0242312<br><br> <br><br>书目名称Computer Vision – ECCV 2024被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0242312<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=BK0242312<br><br> <br><br>书目名称Computer Vision – ECCV 2024年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0242312<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=BK0242312<br><br> <br><br>书目名称Computer Vision – ECCV 2024读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0242312<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=BK0242312<br><br> <br><br>天赋 发表于 2025-3-22 00:13:01
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Formula-Supervised Visual-Geometric Pre-training,alities. FSVGP also reduces reliance on real data collection, cross-modality alignment, and human annotation. Our experimental results show that FSVGP pre-trains more effectively than VisualAtom and PC-FractalDB across six tasks: image and 3D object classification, detection, and segmentation. Thesegrowth-factor 发表于 2025-3-22 07:08:53
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,Restoring Images in Adverse Weather Conditions via Histogram Transformer,ion, we present a dynamic-range convolution enabling conventional convolution to conduct operation over similar pixels rather than neighbor pixels. We also observe that the common pixel-wise losses neglect linear association and correlation between output and ground-truth. Thus, we propose to levera反对 发表于 2025-3-22 15:47:00
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,NGP-RT: Fusing Multi-level Hash Features with Lightweight Attention for Real-Time Novel View Synthemarching strategy to inform the distance to the nearest occupied voxel, thereby reducing the number of marching points and global memory access. Experimental results show that on the challenging Mip-NeRF 360 dataset, NGP-RT achieves better rendering quality than previous NeRF-based methods, achievinAccede 发表于 2025-3-22 23:06:02
,Elysium: Exploring Object-Level Perception in Videos via MLLM,es with corresponding object boxes and descriptions. Leveraging this dataset, we conduct training of MLLMs and propose a token-compression model . to tackle the second challenge. Our proposed approach, .: Exploring Object-level Perception in Videos via MLLM, is an end-to-end trainable MLLM that atte疏远天际 发表于 2025-3-23 02:14:20
,G, ,R: Frequency Regularization in Grid-Based Feature Encoding Neural Radiance Fields,quency regularization with GFE methods. Moreover, we propose a generalized strategy, G. .R: Generalized Grid-based Frequency Regularization, to address issues of camera pose optimization and few-shot reconstruction with GFE methods. We validate the efficacy of our methods through an extensive series先锋派 发表于 2025-3-23 06:54:31
,Getting it ,: Improving Spatial Consistency in Text-to-Image Models,.0.25% of SPRIGHT results in a 22% improvement in generating spatially accurate images while also improving FID and CMMD scores. We also find that training on images containing a larger number of objects leads to substantial improvements in spatial consistency, including state-of-the-art results on