This repo is official PyTorch implementation of One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer (CVPR2023). We propose the first one-stage whole-body mesh recovery method (OSX) and build a large-scale upper-body dataset (UBody). It is the top-1 method on AGORA benchmark SMPL-X Leaderboard (dated March 2023).

2023年3月28日 · In this work, we propose a one-stage pipeline for expressive whole-body mesh recovery, named OSX, without separate networks for each part. Specifically, we design a Component Aware Transformer (CAT) composed of a global body encoder and a …

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2023年4月5日 · 三维全身人体网格重建 (3D Whole-Body Mesh Recovery)是人类行为建模的一个重要环节，用于从单目图像中估计出人体姿态 (Body Pose), 手势 (Hand Gesture)和脸部表情 (Facial Expressions)，该任务在许多下游现实场景中有着广泛的应用，例如动作捕捉、人机交互等。

2023年9月28日 · In this paper, we define and study a new Cloth2Body problem which has a goal of generating 3D human body meshes from a 2D clothing image. Unlike the existing human mesh recovery problem, Cloth2Body needs to address new and emerging challenges raised by the partial observation of the input and the high diversity of the output.

To resolve this long-standing challenge, we present our method BLADE which accurately recovers perspective parameters from a single image without heuristic assumptions. We start from the inverse relationship between perspective distortion and the person's Z-translation T_z T z, and we show that T_z T z can be reliably estimated from the image.

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