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PyTorch implementations for our SIGGRAPH 2021 paper: Editable Free-viewpoint Video Using a Layered Neural Representation.
Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space".
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
The main features of cassiepython/clipnerf are: 3D Generation, Editing and Manipulation.
Projects with overlapping indexed features include: darlinghang/st-nerf — PyTorch implementations for our SIGGRAPH 2021 paper: Editable Free-viewpoint Video Using a Layered Neural… fnzhan/neural-gauge-fields — [ICLR 2023] General Neural Gauge 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… autodeskailab/clip-forge — Generating shapes using natural language can enable new ways of imagining and creating the things around us. While…
