作者: 紅腫 時(shí)間: 2025-3-21 23:50
,ASpanFormer: Detector-Free Image Matching with?Adaptive Span Transformer,and local granularity, we propose ASpanFormer, a Transformer-based detector-free matcher that is built on hierarchical attention structure, adopting a novel attention operation which is capable of adjusting attention span in a self-adaptive manner. To achieve this goal, first, flow maps are regresse作者: FRONT 時(shí)間: 2025-3-22 02:19
,NDF: Neural Deformable Fields for?Dynamic Human Modelling,sent a dynamic human body with shared canonical neural radiance fields which links to the observation space with deformation fields estimations. However, the learned canonical representation is static and the current design of the deformation fields is not able to represent large movements or detail作者: 使增至最大 時(shí)間: 2025-3-22 05:39
Neural Density-Distance Fields,) have been proposed to estimate distance or density fields using neural fields. However, it is difficult to achieve high localization performance by only density fields-based methods such as Neural Radiance Field (NeRF) since they do not provide density gradient in most empty regions. On the other 作者: 構(gòu)成 時(shí)間: 2025-3-22 12:39
,NeXT: Towards High Quality Neural Radiance Fields via?Multi-skip Transformer, existing NeRF based methods, including its variants, treat each sample point individually as input, while ignoring the inherent relationships between adjacent sample points from the corresponding rays, thus hindering the reconstruction performance. To address this issue, we explore a brand new sche作者: 不能平靜 時(shí)間: 2025-3-22 16:42 作者: 不能平靜 時(shí)間: 2025-3-22 19:17
,Decomposing the?Tangent of?Occluding Boundaries According to?Curvatures and?Torsions,en 3D occluding boundaries and their 2D image projections by radial curvature, planar curvature, and Gaussian curvature. Occluding boundaries have also been studied implicitly as intersections of level surfaces, avoiding their explicit description in terms of local surface geometry. In contrast, thi作者: white-matter 時(shí)間: 2025-3-23 01:09 作者: 細(xì)微的差異 時(shí)間: 2025-3-23 01:48
Generalizable Patch-Based Neural Rendering,w synthesis considerably. The recent focus has been on models that overfit to a single scene, and the few attempts to learn models that can synthesize novel views of unseen scenes mostly consist of combining deep convolutional features with a NeRF-like model. We propose a different paradigm, where n作者: Patrimony 時(shí)間: 2025-3-23 07:22
,Improving RGB-D Point Cloud Registration by?Learning Multi-scale Local Linear Transformation,is the key to its success. In addition to previous methods that seek correspondences by hand-crafted or learnt geometric features, recent point cloud registration methods have tried to apply RGB-D data to achieve more accurate correspondence. However, it is not trivial to effectively fuse the geomet作者: BILL 時(shí)間: 2025-3-23 12:13
,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 作者: 不公開 時(shí)間: 2025-3-23 14:34 作者: 啟發(fā) 時(shí)間: 2025-3-23 20:17
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 t作者: Neuralgia 時(shí)間: 2025-3-24 00:46 作者: atopic-rhinitis 時(shí)間: 2025-3-24 04:39
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 esti作者: Foment 時(shí)間: 2025-3-24 10:02
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作者: 發(fā)生 時(shí)間: 2025-3-24 14:37
,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作者: 鞠躬 時(shí)間: 2025-3-24 16:28
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作者: 殘暴 時(shí)間: 2025-3-24 22:02 作者: 敬禮 時(shí)間: 2025-3-24 23:19 作者: 彩色 時(shí)間: 2025-3-25 07:09 作者: 結(jié)果 時(shí)間: 2025-3-25 10:43
Michael A. Crew,Paul R. Kleindorferches for characters with challenging motions. Moreover, the proposed method is generalizable to novel combinations of training poses and can be explicitly controlled. Our method achieves such expressive and animatable character rendering all in real time, serving as a promising solution for practical applications.作者: ORBIT 時(shí)間: 2025-3-25 12:21 作者: Neuropeptides 時(shí)間: 2025-3-25 15:53 作者: Calculus 時(shí)間: 2025-3-26 00:00 作者: Guaff豪情痛飲 時(shí)間: 2025-3-26 02:46 作者: 信條 時(shí)間: 2025-3-26 06:03
Conference proceedings 2022on, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022..?.The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement lear作者: entreat 時(shí)間: 2025-3-26 09:26 作者: judiciousness 時(shí)間: 2025-3-26 15:03
,Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from?RGB Images,lize to unseen objects. Experiments show that Gen6D achieves state-of-the-art results on two model-free datasets: the MOPED dataset and a new GenMOP dataset. In addition, on the LINEMOD dataset, Gen6D achieves competitive results compared with instance-specific pose estimators. Project page: .作者: 調(diào)情 時(shí)間: 2025-3-26 20:47
0302-9743 puter Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022..?.The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforc作者: 抓住他投降 時(shí)間: 2025-3-27 00:34
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234256.jpg作者: Criteria 時(shí)間: 2025-3-27 03:36
https://doi.org/10.1007/978-3-031-19824-3Computer Science; Informatics; Conference Proceedings; Research; Applications作者: 巨頭 時(shí)間: 2025-3-27 06:20 作者: 權(quán)宜之計(jì) 時(shí)間: 2025-3-27 12:36
Computer Vision – ECCV 2022978-3-031-19824-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: thyroid-hormone 時(shí)間: 2025-3-27 15:11 作者: 致詞 時(shí)間: 2025-3-27 20:12 作者: BURSA 時(shí)間: 2025-3-28 00:23
Cooperative Ventures between Recent Enemiessent a dynamic human body with shared canonical neural radiance fields which links to the observation space with deformation fields estimations. However, the learned canonical representation is static and the current design of the deformation fields is not able to represent large movements or detail作者: Migratory 時(shí)間: 2025-3-28 04:46 作者: Neutral-Spine 時(shí)間: 2025-3-28 06:18 作者: 金桌活畫面 時(shí)間: 2025-3-28 12:53 作者: MINT 時(shí)間: 2025-3-28 16:25 作者: HUMP 時(shí)間: 2025-3-28 19:06 作者: cancer 時(shí)間: 2025-3-28 22:58
Indicative Planning in Practice,w synthesis considerably. The recent focus has been on models that overfit to a single scene, and the few attempts to learn models that can synthesize novel views of unseen scenes mostly consist of combining deep convolutional features with a NeRF-like model. We propose a different paradigm, where n作者: Alpha-Cells 時(shí)間: 2025-3-29 04:19
Michael A. Crew,Paul R. Kleindorferis the key to its success. In addition to previous methods that seek correspondences by hand-crafted or learnt geometric features, recent point cloud registration methods have tried to apply RGB-D data to achieve more accurate correspondence. However, it is not trivial to effectively fuse the geomet作者: Synovial-Fluid 時(shí)間: 2025-3-29 08:01 作者: Digitalis 時(shí)間: 2025-3-29 14:17 作者: 上坡 時(shí)間: 2025-3-29 19:02
Decomposing the Changes in Inequality,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 t作者: Morsel 時(shí)間: 2025-3-29 22:48
The Economics of Producing Defense constraints to improve matching. These architectures are specialized according to the particular problem, and thus require significant task-specific tuning, often leading to poor domain generalization performance.Recently, generalist Transformer architectures have achieved impressive results in tas作者: 放棄 時(shí)間: 2025-3-30 01:05 作者: 誹謗 時(shí)間: 2025-3-30 07:46 作者: Substance-Abuse 時(shí)間: 2025-3-30 08:35 作者: 委派 時(shí)間: 2025-3-30 14:46 作者: sparse 時(shí)間: 2025-3-30 20:34
,ARAH: Animatable Volume Rendering of?Articulated Human SDFs,s ray-surface intersection search and correspondence search. Our algorithm enables efficient point sampling and accurate point canonicalization while generalizing well to unseen poses. We demonstrate that our proposed pipeline can generate clothed avatars with high-quality pose-dependent geometry an作者: abysmal 時(shí)間: 2025-3-31 00:10
,ASpanFormer: Detector-Free Image Matching with?Adaptive Span Transformer,t also enable fine-grained attention among pixels of high relevance that compensates essential locality and piece-wise smoothness in matching tasks. State-of-the-art accuracy on a wide range of evaluation benchmarks validates the strong matching capability of our method.作者: Hyperopia 時(shí)間: 2025-3-31 03:17 作者: radiograph 時(shí)間: 2025-3-31 06:54 作者: Adulate 時(shí)間: 2025-3-31 09:57
,BungeeNeRF: Progressive Neural Radiance Field for?Extreme Multi-scale Scene Rendering,f-detail rendering across drastically varied scales. Starting from fitting distant views with a shallow base block, as training progresses, new blocks are appended to accommodate the emerging details in the increasingly closer views. The strategy progressively activates high-frequency channels in Ne作者: 禁令 時(shí)間: 2025-3-31 16:47
,Decomposing the?Tangent of?Occluding Boundaries According to?Curvatures and?Torsions,undary exhibits a strikingly elegant decomposition along the viewing direction and its orthogonal tangent, where the decomposition weights precisely match the geodesic torsion and the normal curvature of the surface respectively only along the line-of-sight! Though the focus of this paper is an enha作者: Additive 時(shí)間: 2025-3-31 19:09 作者: 煩人 時(shí)間: 2025-3-31 23:11
Generalizable Patch-Based Neural Rendering,coding, we parameterize rays as in a light field representation, with the crucial difference that the coordinates are canonicalized with respect to the target ray, which makes our method independent of the reference frame and improves generalization. We show that our approach outperforms the state-o作者: 并置 時(shí)間: 2025-4-1 02:01
,Improving RGB-D Point Cloud Registration by?Learning Multi-scale Local Linear Transformation,ual-geometric features are in canonical feature spaces with alleviated visual dissimilarity caused by geometric changes, by which more reliable correspondence can be achieved. The proposed GAVE module can be readily plugged into recent RGB-D point cloud registration framework. Extensive experiments 作者: Ganglion-Cyst 時(shí)間: 2025-4-1 06:49
,SparseNeuS: Fast Generalizable Neural Surface Reconstruction from?Sparse Views,ner; 2) a multi-scale color blending scheme for more reliable color prediction; 3) a consistency-aware fine-tuning scheme to control the inconsistent regions caused by occlusion and noise. Extensive experiments demonstrate that our approach not only outperforms the state-of-the-art methods, but also作者: 鉆孔 時(shí)間: 2025-4-1 12:24 作者: 消極詞匯 時(shí)間: 2025-4-1 16:42
Depth Field Networks For Generalizable Multi-view Scene Representation,ur Depth Field Networks (DeFiNe) achieve state-of-the-art results in stereo and video depth estimation without explicit geometric constraints, and improve on zero-shot domain generalization by a wide margin. Project page: ..作者: doxazosin 時(shí)間: 2025-4-1 22:16
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching,be extracted. Second, we construct the warping volume at the last level of the pyramid for disparity refinement. The proposed warping volume can narrow down the residue searching range from the initial disparity searching range to a fine-grained one, which can dramatically alleviate the difficulty o作者: ITCH 時(shí)間: 2025-4-2 01:56
Latency-Aware Collaborative Perception,stimation and time modulation techniques. Experiments results show that the proposed latency aware collaborative perception system with?. can outperforms the state-of-the-art collaborative perception method by 15.6% in the communication latency scenario and keep collaborative perception being superi作者: 拱形大橋 時(shí)間: 2025-4-2 03:32 作者: 殺死 時(shí)間: 2025-4-2 07:58
https://doi.org/10.1057/9781137287700t also enable fine-grained attention among pixels of high relevance that compensates essential locality and piece-wise smoothness in matching tasks. State-of-the-art accuracy on a wide range of evaluation benchmarks validates the strong matching capability of our method.作者: Melanocytes 時(shí)間: 2025-4-2 11:54
Ruth Arad,Seev Hirsch,Alfred Toviast distance and density fields realized by explicit conversion enable both robustness to initial values and high-quality registration. Furthermore, the consistency between fields allows fast convergence from sparse point clouds. Experiments show that NeDDF can achieve high localization performance wh
