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Methods/ARCH

ARCH

Animatable Reconstruction of Clothed Humans

Computer VisionIntroduced 200023 papers
Source Paper

Description

Animatable Reconstruction of Clothed Humans is an end-to-end framework for accurate reconstruction of animation-ready 3D clothed humans from a monocular image. ARCH is a learned pose-aware model that produces detailed 3D rigged full-body human avatars from a single unconstrained RGB image. A Semantic Space and a Semantic Deformation Field are created using a parametric 3D body estimator. They allow the transformation of 2D/3D clothed humans into a canonical space, reducing ambiguities in geometry caused by pose variations and occlusions in training data. Detailed surface geometry and appearance are learned using an implicit function representation with spatial local features.

Papers Using This Method

Neural Network Verification for Gliding Drone Control: A Case Study2025-05-01Research on Credit Risk Early Warning Model of Commercial Banks Based on Neural Network Algorithm2024-05-17Benchmarking Representations for Speech, Music, and Acoustic Events2024-05-02IMPaCT: Interval MDP Parallel Construction for Controller Synthesis of Large-Scale Stochastic Systems2024-01-07Short-term Volatility Estimation for High Frequency Trades using Gaussian processes (GPs)2023-11-18Nonparametric Identification and Estimation of Earnings Dynamics using a Hidden Markov Model: Evidence from the PSID2023-05-25Adjust factor with volatility model using MAXFLAT low-pass filter and construct portfolio in China A share market2023-03-29Forecasting the Turkish Lira Exchange Rates through Univariate Techniques: Can the Simple Models Outperform the Sophisticated Ones?2023-02-12Penalized Quasi-likelihood Estimation and Model Selection in Time Series Models with Parameters on the Boundary2023-02-06The Econometrics of Financial Duration Modeling2022-08-03Multivariate backtests and copulas for risk evaluation2022-06-08Subgeometrically ergodic autoregressions with autoregressive conditional heteroskedasticity2022-05-24Reducing overestimating and underestimating volatility via the augmented blending-ARCH model2022-03-15LILE: Look In-Depth before Looking Elsewhere -- A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives2022-03-02ICON: Implicit Clothed humans Obtained from Normals2021-12-16A Data-Driven Approach for Linear and Nonlinear Damage Detection Using Variational Mode Decomposition and GARCH Model2021-11-16ARCH: Efficient Adversarial Regularized Training with Caching2021-09-15On the short term stability of financial ARCH price processes2021-07-14MinP Score Tests with an Inequality Constrained Parameter Space2021-07-13Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles2021-03-08