#CVPR 2022

Discover how ICON advances 3D human reconstruction using implicit surfaces, integrating with PyTorch and Hugging Face. It extracts detailed 3D clothed models from single RGB images, offering robust pipelines like PIFu, PaMIR for effective training and evaluation. Understand its advanced garment extraction, pose refinement, and normal prediction technologies, supporting frameworks like SMPL-X for enhanced 3D modeling with detailed garment features and dynamic video outputs.

This resource delves into continual test-time domain adaptation by comparing methods such as AdaBN, BN Adapt, and TENT. It covers tasks from CIFAR10/100 to ImageNet and Cityscapes to ACDC, aimed at optimizing classification and segmentation models. Learn about experimental setups including environment preparation via Conda, and experiment scripts tested on systems like RTX2080TI and RTX3090. Additional links provide access to supplementary materials for a thorough understanding of implementation and methodology.