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CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
PyTorch implementations for our SIGGRAPH 2021 paper: Editable Free-viewpoint Video Using a Layered Neural Representation.
The main features of darlinghang/st-nerf are: Editing and Manipulation.
Projects with overlapping indexed features include: cassiepython/clipnerf — CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields. fnzhan/neural-gauge-fields — [ICLR 2023] General Neural Gauge Fields. lenerf/lenerf.github.io — LENeRF (CVPR'23). stevliu/editnerf — Editing a Conditional Radiance Field. vita-group/ins — [ECCV2022]"Unified Implicit Neural Stylization" which proposes a unified stylization framework for SIREN, SDF and NeRF. zju3dv/sine — Code for "Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field", CVPR 2023.