作者: Abrade 時間: 2025-3-21 23:01
Current and Capital Account Convertibilityatmaps intrinsically suffer from quantization error and require excessive computation to generate and post-process. Motivated to find a more efficient solution, we propose to model individual keypoints and sets of spatially related keypoints (., poses) as objects within a dense single-stage anchor-b作者: STIT 時間: 2025-3-22 03:04 作者: 歪曲道理 時間: 2025-3-22 06:20 作者: Liberate 時間: 2025-3-22 09:05
L. Jean Camp,M. Eric Johnson,Ari Schwartz the way for addressing this challenging task using analysis-by-synthesis. The idea is to sequentially update a set of latent variables, e.g., pose, shape, and appearance, of the generative model until the generated image best agrees with the observation. However, convergence and efficiency are two 作者: 提升 時間: 2025-3-22 15:10
https://doi.org/10.1007/978-1-4614-1918-1on burdens, especially for large scenes. We present . to address the challenge by re-projecting the feature volume to the three two-dimensional coordinate planes and estimating .,?.,?. coordinates from them separately. To that end, we first localize each person by a 3D bounding box by estimating a 2作者: 提升 時間: 2025-3-22 17:37
Fintech: Toward a New Era of Finance,ntly improving immersion in AR and VR scenarios. A common first step in systems that tackle these problems is to regress the parameters of the parametric model directly from the input data. This approach is fast, robust, and is a good starting point for an iterative minimization algorithm. The latte作者: Lineage 時間: 2025-3-22 22:48 作者: 向外才掩飾 時間: 2025-3-23 01:58
https://doi.org/10.1007/3-540-28524-5synthesis which tends to produce brittle and unnatural results. This paper presents Grasp’D, an approach to grasp synthesis by differentiable contact simulation that can work with both known models and visual inputs. We use gradient-based methods as an alternative to sampling-based grasp synthesis, 作者: Malcontent 時間: 2025-3-23 07:27
Economic Exposure and Accounting Exposure,we exploit autoregressive modeling to further extend this notion to capture dynamic effects, such as soft-tissue deformations. Although autoregressive models are naturally capable of handling dynamics, it is non-trivial to apply them to implicit representations, as explicit state decoding is infeasi作者: 精密 時間: 2025-3-23 12:14 作者: condemn 時間: 2025-3-23 17:19 作者: Colonoscopy 時間: 2025-3-23 21:20
https://doi.org/10.1007/3-540-28524-5 poses and views. Our method is based on a dynamic Neural Radiance Field (NeRF) rigged by a mesh-based parametric 3D human model serving as a geometry proxy. Previous methods usually rely on multi-view videos or accurate 3D geometry information as additional inputs; besides, most methods suffer from作者: 自由職業(yè)者 時間: 2025-3-23 22:53 作者: Impugn 時間: 2025-3-24 02:21 作者: 誘惑 時間: 2025-3-24 08:14 作者: Occupation 時間: 2025-3-24 11:42 作者: 呼吸 時間: 2025-3-24 15:57 作者: figurine 時間: 2025-3-24 19:24
https://doi.org/10.1007/978-3-031-20068-7Computer Science; Informatics; Conference Proceedings; Research; Applications作者: Spirometry 時間: 2025-3-25 02:35
978-3-031-20067-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 爭吵 時間: 2025-3-25 03:56
https://doi.org/10.1007/978-1-4614-1918-1coordinates from the three coordinate planes separately which are then fused to obtain the final 3D pose. The method is free from costly 3D-CNNs and improves the speed of VoxelPose by ten times and meanwhile achieves competitive accuracy as the state-of-the-art methods, proving its potential in real-time applications.作者: conformity 時間: 2025-3-25 10:52 作者: Decimate 時間: 2025-3-25 14:10 作者: Eosinophils 時間: 2025-3-25 18:06
Current and Capital Account Convertibility strengths of both object representations. In experiments we observe that KAPAO is faster and more accurate than previous methods, which suffer greatly from heatmap post-processing. The accuracy-speed trade-off is especially favourable in the practical setting when not using test-time augmentation. Source code: ..作者: 悶熱 時間: 2025-3-25 21:20 作者: 孤獨無助 時間: 2025-3-26 00:09 作者: GLARE 時間: 2025-3-26 06:25 作者: set598 時間: 2025-3-26 11:41 作者: nominal 時間: 2025-3-26 16:09 作者: 獨特性 時間: 2025-3-26 18:43 作者: macabre 時間: 2025-3-26 23:43
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction,). The cores of the model are cascaded multi-part graph scattering blocks (MPGSBs), building adaptive graph scattering on diverse body-parts, as well as fusing the decomposed features based on the inferred spectrum importance and body-part interactions. Extensive experiments have shown that SPGSN ou作者: 箴言 時間: 2025-3-27 03:00 作者: compassion 時間: 2025-3-27 08:51
,Regularizing Vector Embedding in?Bottom-Up Human Pose Estimation,linear correlation of embeddings and makes embeddings being sparse. We evaluate our model on CrowdPose Test and COCO Test-dev. Compared to vanilla Associative Embedding, our method has an impressive superiority in keypoint grouping, especially in crowded scenes with a large number of instances. Furt作者: ATP861 時間: 2025-3-27 13:27 作者: Dawdle 時間: 2025-3-27 14:39 作者: 填滿 時間: 2025-3-27 20:41
,EgoBody: Human Body Shape and?Motion of?Interacting People from?Head-Mounted Devices,to multi-view RGB-D frames, reconstructing 3D human shapes and poses relative to the scene, over time. We collect 125 sequences, spanning diverse interaction scenarios, and propose the first benchmark for 3D full-body pose and shape estimation of the interaction partner from egocentric views. We ext作者: Mercurial 時間: 2025-3-28 00:08
,Grasp’D: Differentiable Contact-Rich Grasp Synthesis for?Multi-Fingered Hands,e to gradient-based optimization, such as non-smooth object surface geometry, contact sparsity, and a rugged optimization landscape. Grasp’D compares favorably to analytic grasp synthesis on human and robotic hand models, and resultant grasps achieve over 4. denser contact, leading to significantly 作者: 協(xié)定 時間: 2025-3-28 02:31
,AutoAvatar: Autoregressive Neural Fields for?Dynamic Avatar Modeling,ed observer points leads to significantly better generalization compared to a latent representation. The experiments show that our approach outperforms the state of the art, achieving plausible dynamic deformations even for unseen motions. ..作者: constitutional 時間: 2025-3-28 09:43
,SAGA: Stochastic Whole-Body Grasping with?Contact,ial pose and the generated whole-body grasping pose as the start and end of the motion respectively, we design a novel contact-aware generative motion infilling module to generate a diverse set of grasp-oriented motions. We demonstrate the effectiveness of our method, which is a novel generative fra作者: perjury 時間: 2025-3-28 11:02 作者: cushion 時間: 2025-3-28 15:05 作者: recede 時間: 2025-3-28 21:54
,Compositional Human-Scene Interaction Synthesis with?Semantic Control,ich the articulated 3D human body surface points and 3D objects are jointly encoded in a unified latent space, and the semantics of the interaction between the human and objects are embedded via positional encoding. Furthermore, inspired by the compositional nature of interactions that humans can si作者: glans-penis 時間: 2025-3-28 23:03 作者: aphasia 時間: 2025-3-29 03:31
The Economics of Family Taxation). The cores of the model are cascaded multi-part graph scattering blocks (MPGSBs), building adaptive graph scattering on diverse body-parts, as well as fusing the decomposed features based on the inferred spectrum importance and body-part interactions. Extensive experiments have shown that SPGSN ou作者: 蒙太奇 時間: 2025-3-29 09:17 作者: 絕食 時間: 2025-3-29 11:56 作者: Chronological 時間: 2025-3-29 19:36
L. Jean Camp,M. Eric Johnson,Ari Schwartza simple hybrid approach leads to an effective and efficient solution. We further compare these strategies to state-of-the-art methods, and demonstrate superior performance on synthetic and real-world datasets leveraging off-the-shelf pose-aware generative models.作者: bronchiole 時間: 2025-3-29 23:14
Fintech: Toward a New Era of Finance,tom implementations that demand significant time investments from both engineers and domain experts. In this work, we build upon recent advances in learned optimization and propose an update rule inspired by the classic Levenberg-Marquardt algorithm. We show the effectiveness of the proposed neural 作者: 一夫一妻制 時間: 2025-3-30 03:20 作者: BUCK 時間: 2025-3-30 05:30 作者: 針葉類的樹 時間: 2025-3-30 08:31
Economic Exposure and Accounting Exposure,ed observer points leads to significantly better generalization compared to a latent representation. The experiments show that our approach outperforms the state of the art, achieving plausible dynamic deformations even for unseen motions. ..作者: 斜坡 時間: 2025-3-30 16:07
The Flexible Price Monetary Model,ial pose and the generated whole-body grasping pose as the start and end of the motion respectively, we design a novel contact-aware generative motion infilling module to generate a diverse set of grasp-oriented motions. We demonstrate the effectiveness of our method, which is a novel generative fra作者: 千篇一律 時間: 2025-3-30 18:17
https://doi.org/10.1007/3-540-28524-5on mesh vertices. By including both position and relative distance information, our embedding defines a distance-preserved deformation mapping and generalizes well to unseen poses. To reduce the dependency on additional inputs, we first initialize per-frame 3D meshes using off-the-shelf tools and th作者: NEX 時間: 2025-3-30 23:50 作者: 丑惡 時間: 2025-3-31 04:04
Economic Exposure and Accounting Exposure,ich the articulated 3D human body surface points and 3D objects are jointly encoded in a unified latent space, and the semantics of the interaction between the human and objects are embedded via positional encoding. Furthermore, inspired by the compositional nature of interactions that humans can si作者: 能量守恒 時間: 2025-3-31 06:26
https://doi.org/10.1007/3-540-28524-5ined a deep model (PressureVisionNet) to infer a pressure image from a single RGB image. Our model infers pressure for participants outside of the training data and outperforms baselines. We also show that the output of our model depends on the appearance of the hand and cast shadows near contact re作者: myalgia 時間: 2025-3-31 12:59 作者: 多嘴 時間: 2025-3-31 16:21
,VirtualPose: Learning Generalizable 3D Human Pose Models from?Virtual Data,作者: HUMP 時間: 2025-3-31 20:00 作者: Obsequious 時間: 2025-4-1 01:34 作者: Orchiectomy 時間: 2025-4-1 02:40 作者: 并排上下 時間: 2025-4-1 08:20
,SimCC: A Simple Coordinate Classification Perspective for?Human Pose Estimation,error problem in the 2D heatmap-based methods leads to several well-known drawbacks: 1) The performance for the low-resolution inputs is limited; 2) To improve the feature map resolution for higher localization precision, multiple costly upsampling layers are required; 3) Extra post-processing is ad作者: 文字 時間: 2025-4-1 12:14
,Regularizing Vector Embedding in?Bottom-Up Human Pose Estimation,eypoints according to the predicted identity embeddings. However, the identity embeddings of different instances are likely to be linearly inseparable in some complex scenes, such as crowded scene or when the number of instances in the image is large. To reduce the impact of this phenomenon on keypo作者: exclamation 時間: 2025-4-1 16:52
