… text and image data. This paper explores a novel research direction that aims to connect the
NeRF … modalities, similar to established methodologies for images and text. To this end, we …

… , however, remains challenging, especially in simulating a text-… In this paper, we present
NeRF-Art, a text-guided NeRF … image pixels, making it possible to stylize NeRF scenes with …

… An important building block of our work is CLIP [33] which connects texts and images by
bringing them closer in a shared latent space, under a contrastive learning manner. Powered by …

… we adopt NeRF as the 3D representation and leverage a pre-trained text-to-image diffusion
… networks to learn cross-modal connections between texts and 3D models in the embedding …

… The target editing region is specified by the source text Tsource in the original rendered
image Io, and the editable NeRF g is trained to render a blended image Iβ that matches the …

… -NeRF, we show that while Text-to-… images and their corresponding latent codes over a
collection of natural images. As our NeRF model is already composed of a set of fully connected …

… the mutual information of target text image pairs during NeRF stylization by a semantic …
We use CLIP [11] in our style transfer model, which connects text and images by bringing …

… and camera viewpoint pair we render image Ii using the ith pre-trained teacher NeRF (line 5).
… Baselines: Our baseline is 6 layer MLP with skip connections every two layers. The hidden …

… As NeRF’s volumetric rendering and CLIP’s image-text repre… the NeRF scene representation
with textual supervision … that introduces residual connections around every two dense …

… Use the link below to share a full-text version of this article with … NeRF textures were trained
using synthetic datasets, our approach is readily applicable to datasets with natural images, …