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Generating shapes using natural language can enable new ways of imagining and creating the things around us. While significant recent progress has been made in text-to-image generation, text-to-shape generation remains a challenging problem due to the unavailability of paired text and shape data…
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space".
AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
ClipFace: Text-guided Editing of Textured 3D Morphable Models Shivangi Aneja, Justus Thies, Angela Dai, Matthias Niessner https://shivangi-aneja.github.io/projects/clipface
The main features of sanonymous22/clipface are: 3D Generation.
Open-source alternatives to sanonymous22/clipface include: autodeskailab/clip-forge — Generating shapes using natural language can enable new ways of imagining and creating the things around us. While… cassiepython/clipnerf — CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields. guytevet/motionclip — Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space". hongfz16/avatarclip — AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars. kvfrans/clipdraw — This work presents CLIPDraw, an algorithm that synthesizes novel drawings based on natural language input. CLIPDraw… threedle/text2mesh — Text2Mesh is a method for text-driven stylization of a 3D mesh, as described in "Text2Mesh: Text-Driven Neural…