ConvNeRF
ConvNeRF is a PyTorch implementation of a novel scheme for generating opacity radiance fields using a convolutional neural renderer. Presented at ICCP 2021 by researchers from ShanghaiTech University and others, this software specifically targets the rendering of fuzzy objects with high-frequency details. It introduces a convolutional approach to improve the quality of neural radiance field outputs for complex, semi-transparent subjects such as hair or smoke. The repository provides a complete pipeline including environment setup with Python 3.7 and PyTorch 1.12.1 support, configuration management via YAML files, and training scripts capable of controlling image resolution and dataset paths. It includes access to synthetic datasets and pre-trained models for specific use cases like the wolf and hair examples. Users can train custom models or utilize existing checkpoints to render around-view videos with custom camera trajectories. The system requires PyTorch3D for rendering operations and operates on Linux en