A TensorFlow implementation of a simple Novel View Synthesis model on ShapeNet (cars and chairs), KITTI, and Synthia.
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Updated
Apr 30, 2019 - Python
A TensorFlow implementation of a simple Novel View Synthesis model on ShapeNet (cars and chairs), KITTI, and Synthia.
This is the official implementation of "Novel View Synthesis with Skip Connections" (ICIP 2020)
Generative View Synthesis: from Single-view Semantics to Novel-view Images, Habtegebrial et al. NeurIPS 2020
Vision Based Algorithm For Generation of Novel Views
An official TensorFlow implementation of "Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence" (ECCV 2018) by Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, and Joseph J. Lim
Code and models for our ICCV 2021 paper "MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis"
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
This is an implementation of Shearlet Transform (ST) for light field reconstruction using TensorFlow 1.x.
Official implementation of CycleST with TensorFlow 2.x.
Neural Radiance Field (ECCV2020), TF2 & Keras implementation
Repository used to generate synthetic dataset from Kubric, used in "CoNeRF: Controllable Neural Radiance Fields"
NeRF implementation with minimal code and maximal readability using PyTorch
Official implementation for GP-NeRF (ECCV 2022)
Official code repository for the EpipolarNVS contribution (BMVC 2022)
NeRF (Neural Radiance Field) TensorFlow v2 Keras Re-Implementation
Official repository of "PVSeRF: Joint Pixel-, Voxel- and Surface-Aligned Radiance Field for Single-Image Novel View Synthesis", ACM MM 2022
Is a geometric model required to synthesize novel views from a single image?
Given an input RGB image, we generate novel viewpoints that simulate a 3D interactive experience.
Reimplementation of NeRF (Neural Radiance Fields) (ECCV2020)
😮The official implementation of "CoNeRF: Controllable Neural Radiance Fields" 😮
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