Neural Rendering

68 papers with code • 0 benchmarks • 2 datasets

Given a representation of a 3D scene of some kind (point cloud, mesh, voxels, etc.), the task is to create an algorithm that can produce photorealistic renderings of this scene from an arbitrary viewpoint. Sometimes, the task is accompanied by image/scene appearance manipulation.

Libraries

Use these libraries to find Neural Rendering models and implementations

Most implemented papers

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

bmild/nerf ECCV 2020

Our algorithm represents a scene using a fully-connected (non-convolutional) deep network, whose input is a single continuous 5D coordinate (spatial location $(x, y, z)$ and viewing direction $(\theta, \phi)$) and whose output is the volume density and view-dependent emitted radiance at that spatial location.

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

nvlabs/instant-ngp 16 Jan 2022

Neural graphics primitives, parameterized by fully connected neural networks, can be costly to train and evaluate.

Deferred Neural Rendering: Image Synthesis using Neural Textures

SSRSGJYD/NeuralTexture 28 Apr 2019

Similar to traditional textures, neural textures are stored as maps on top of 3D mesh proxies; however, the high-dimensional feature maps contain significantly more information, which can be interpreted by our new deferred neural rendering pipeline.

pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

marcoamonteiro/pi-GAN CVPR 2021

We have witnessed rapid progress on 3D-aware image synthesis, leveraging recent advances in generative visual models and neural rendering.

PlenOctrees for Real-time Rendering of Neural Radiance Fields

sxyu/plenoctree ICCV 2021

We introduce a method to render Neural Radiance Fields (NeRFs) in real time using PlenOctrees, an octree-based 3D representation which supports view-dependent effects.

Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs

deepmind/spriteworld 21 Jan 2019

We present a simple neural rendering architecture that helps variational autoencoders (VAEs) learn disentangled representations.

A Neural Rendering Framework for Free-Viewpoint Relighting

LansburyCH/relightable-nr CVPR 2020

We present a novel Relightable Neural Renderer (RNR) for simultaneous view synthesis and relighting using multi-view image inputs.

CONFIG: Controllable Neural Face Image Generation

microsoft/ConfigNet ECCV 2020

Our ability to sample realistic natural images, particularly faces, has advanced by leaps and bounds in recent years, yet our ability to exert fine-tuned control over the generative process has lagged behind.

MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo

apchenstu/mvsnerf ICCV 2021

We present MVSNeRF, a novel neural rendering approach that can efficiently reconstruct neural radiance fields for view synthesis.

ADOP: Approximate Differentiable One-Pixel Point Rendering

darglein/ADOP 13 Oct 2021

Like other neural renderers, our system takes as input calibrated camera images and a proxy geometry of the scene, in our case a point cloud.