3. Dynamic Image-Based Rendering 给定一个具有帧的动态场景的单目视频(I1, I2,…,, IN ) 和已知的相机参数 (P1, P2,., PN ),目标是在视频中任何所需时间合成一个新的视点。与许多其他方法一样,此方法训练每个视频,首先优化模型来重建输入帧,然后使用该模型渲染新视图。 不像最近的动态NeRF方法那样直接...
Writers: Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely PDF:DynIBaR: Neural Dynamic Image-Based Rendering Abstract We address the problem of synthesizing novel views from a monocular video depicting a complex dynamic scene. State-of-the-art methods based on temporally vary...
DynIBaR: Neural Dynamic Image-Based Rendering, CVPR 2023 Zhengqi Li1,Qianqian Wang1,2,Forrester Cole1,Richard Tucker1,Noah Snavely1 1Google Research,2Cornell Tech, Cornell University Instructions for installing dependencies Python Environment
3.少视角 IBRNet: Learning Multi-View Image-Based Rendering Depth-supervised NeRF: Fewer Views and ...
NVIDIA DLSS is a suite of neural rendering technologies that uses AI to boost FPS, reduce latency, and improve image quality. The latest breakthrough, DLSS 4, brings new Multi Frame Generation and Transformer-powered Super Resolution and Ray Reconstruction, accelerated by GeForce RTX ...
Neural rendering is the next era of computer graphics. By integrating neural networks into the rendering process, we can take dramatic leaps forward in performance, image quality, and interactivity to deliver new levels of immersion. NVIDIA RTX Kit is a suite of neural rendering technologies to ...
2. Related Work Our work is related to several research domains, such as novel view synthesis for static scenes, 3D video synthe- sis for dynamic scenes, image-based rendering, and neural rendering approaches. For a detailed discussion of neural rendering applications and neural scene ...
First Order Motion Model for Image Animation. Aliaksandr Siarohin,Stéphane Lathuilière,Sergey Tulyakov,Elisa Ricci,Nicu Sebe. NeurIPS 2019. [PDF] [Project] [Github] Neural Human Video Rendering: Joint Learning of Dynamic Textures and Rendering-to-Video Translation. ...
Neural scene representation and rendering. Science 360, 1204–1210 (2018). Article CAS PubMed Google Scholar Beattie, C. et al. {DeepMind} {Lab}. Preprint at http://arxiv.org/abs/1612.03801 (2016). Kolve, E. et al. AI2-THOR: an interactive 3D environment for visual AI. Preprint ...
The system dynamic computes a learning parameter for each image based on its level of noise. The experiments are conducted on a global illumination set which contains a large number of images with different resolutions and noise levels computed using diffuse and specular rendering. With respect to ...