State of the art on neural rendering
Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures
Abstract Neural Radiance Fields (NeRFs) have demonstrated amazing ability to synthesize
images of 3D scenes from novel views. However, they rely upon specialized volumetric …
images of 3D scenes from novel views. However, they rely upon specialized volumetric …
Humannerf: Free-viewpoint rendering of moving people from monocular video
We introduce a free-viewpoint rendering method--HumanNeRF--that works on a given
monocular video of a human performing complex body motions, eg a video from YouTube …
monocular video of a human performing complex body motions, eg a video from YouTube …
Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields
Neural Radiance Fields (NeRF) are able to reconstruct scenes with unprecedented fidelity,
and various recent works have extended NeRF to handle dynamic scenes. A common …
and various recent works have extended NeRF to handle dynamic scenes. A common …
Gps-gaussian: Generalizable pixel-wise 3d gaussian splatting for real-time human novel view synthesis
We present a new approach termed GPS-Gaussian for synthesizing novel views of a
character in a real-time manner. The proposed method enables 2K-resolution rendering …
character in a real-time manner. The proposed method enables 2K-resolution rendering …
Advances in neural rendering
Synthesizing photo‐realistic images and videos is at the heart of computer graphics and has
been the focus of decades of research. Traditionally, synthetic images of a scene are …
been the focus of decades of research. Traditionally, synthetic images of a scene are …
Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans
This paper addresses the challenge of novel view synthesis for a human performer from a
very sparse set of camera views. Some recent works have shown that learning implicit …
very sparse set of camera views. Some recent works have shown that learning implicit …
Nerf in the wild: Neural radiance fields for unconstrained photo collections
We present a learning-based method for synthesizingnovel views of complex scenes using
only unstructured collections of in-the-wild photographs. We build on Neural Radiance …
only unstructured collections of in-the-wild photographs. We build on Neural Radiance …
Styleflow: Attribute-conditioned exploration of stylegan-generated images using conditional continuous normalizing flows
High-quality, diverse, and photorealistic images can now be generated by unconditional
GANs (eg, StyleGAN). However, limited options exist to control the generation process using …
GANs (eg, StyleGAN). However, limited options exist to control the generation process using …
Neural volumes: Learning dynamic renderable volumes from images
Modeling and rendering of dynamic scenes is challenging, as natural scenes often contain
complex phenomena such as thin structures, evolving topology, translucency, scattering …
complex phenomena such as thin structures, evolving topology, translucency, scattering …