Specifically, we capture 210 paired videos, each containing short/long exposure pairs of real video frames with dynamic objects and diverse scenes displayed on a high-end monitor. Besides, since spatial self-si
D-NeRF: Neural radiance fields for dynamic scenes. In CVPR, 2021. 1, 2 [37] Ravi Ramamoorthi and Pat Hanrahan. Frequency space en- vironment map rendering. In ACM SIGGRAPH, 2002. 7 [38] Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger. Ki...
2. It has optimized the environment light mapping and supports loading environment light maps in HDR (High Dynamic Range) and KTX formats. The optimized environment light mapping allows glass curtain walls to reflect the surrounding real environment as the viewing angle changes. 3. It has improved...
Point cloud analysis is a crucial task in computer vision. Despite significant advances over the past decade, the developments in agricultural domain have faced challenges due to a scarcity of datasets. To facilitate 3D point cloud research in agricultur
We also maintain compatibility with datasets of 3D reconstructed large real-world scenes (homes and offices) that you can download and use with iGibson. For Gibson Dataset and Stanford 2D-3D-Semantics Dataset, please fill out this form. For Matterport3D Dataset, please fill in this form and ...
Support Camera Refocused Disparity Bokeh Rendering: The current bokeh rendering only supports rendering with the bokeh blur parameter, with the refocused disparity fixed at 0.96 for all scenes. Dynamic refocused disparity requires the generative model to have a better understanding of scene depth. Wid...
we analyze the luminance characteristics of an existing high-dynamic-range (HDR) panoramic image dataset, build an HDR VR headset capable of reproducing over 20,000 nits peak luminance, and conduct a first-of-its-kind study on user brightness preferences in VR. We conclude that current commercia...
In this second stage, our objective is to generate dynamic and photorealistic videos of the listener by utilizing the predicted results from the first stage and a single static portrait image of the listener. To streamline the problem, we will introduce parameter definit...
Street View dataset). Places365-Standard Dataset contains 1.6 million training images from 365 scenes. We choose ten different scenes including canyon, field road, field- cultivated, field-urban, synagogue-outdoor, tundra, valley, canal-natural, and canal-urban. Each category contains 5, 000 ...
The goal of this project is to detect objects from a number of object classes in realistic scenes for the KITTI 2D dataset. - heoun/KITTI-2d-object-detection