We synthesize the novel view images by first using a convolutional neural network (CNN) to promote the input image into a layered representation of the scene.
Nov 27, 2020 · We propose a learning-based approach to synthesize a light field with a small baseline from a single image.
Synthesizing Light Field From a Single Image with Variable MPI and Two Network Fusion (SIGGRAPH Asia 2020). This is the code for the SIGGRAPH Asia 2020 paper ...
We propose a learning-based approach to synthesize a light field with a small baseline from a single image.
Nov 26, 2020 · This work extends the multiplane image (MPI) representation by allowing the disparity of the layers to be inferred from the input image, ...
[Lab Seminar] [Li] Synthesizing Light Field From a Single Image with Variable MPI and Two Network Fusion. Aug 31, 2020. Synthesizing Light Field From a ...
May 5, 2021 · Synthesizing light field from a single image with variable MPI and two network fusion. Overview of attention for article published in ACM ...
In this study, we propose a new variable layered depth image (VLDI) representation to generate precise light field synthesis results using only a few layers.
Missing: single | Show results with:single
May 4, 2021 · A machine-learning-based approach that would allow users to take a single photo and use it to generate novel views of the scene.
Synthesizing light field from a single image with variable MPI and two network fusion. Q Li, NK Kalantari. ACM Trans. Graph. 39 (6), 229:1-229:10, 2020. 53 ...