Neural 3D Video Synthesis from Multi-view Video(CVPR2022) 本文提出了一种新的3D视频生成方法,这种方法能够以紧凑但富有表现力的表示形式表示动态真实世界场景的多视图视频记录,从而实现高质量的视图合成和运动插值。 1. Introduction 本文的主要贡献: 1. 本文提出了一种基于时间隐式编码的新型动态神经辐射场,...
Neural 3D Video Synthesis from Multi-view Video Tianye Li1,2,∗ Mira Slavcheva2,∗ Michael Zollhoefer2 Simon Green2 Christoph Lassner2 Changil Kim3 Tanner Schmidt2 Steven Lovegrove2 Michael Goesele2 Richard Newcombe2 Zhaoyang Lv2 1University of Southern California 2Reality Labs Research 3...
python reenact_avatar_next3d.py --drive_root=data/obama \ --network=pretrained_models/next3d_ffhq_512.pkl \ --grid=2x1 --seeds=166 --outdir=out --fname=reenact.mp4 \ --trunc=0.7 --lms_cond=1 Training Download and processFlickr-Faces-HQ datasetusing the following commands. ...
and biological video-rate 3D microscopy, without the need for an integrated illumination source. Graphene-based transparent photodetectors can detect light with a broad bandwidth from visible to mid-infrared. This enables 3D infrared imaging for even more applications. ...
Each scene in the Nvidia dataset can be accessedhere The input data directory should similar to the following format: xxx/nvidia_long_release/Balloon1 Run the following command for each scene to obtain reported quantitative results: #Usage: In txt file, You need to change "rootdir" to your ...
This paper presents a unified multimodal pre-trained model called N ¨UWA that can generate new or manipulate existing visual data (i.e., images and videos) for various visual synthesis tasks. To cover lan-guage, image, and video at the same time for different scenarios, a 3D transformer ...
3D CNN architectures, we have decided to input CTPA exams to PENet for this study as our imaging only model. After pretraining the model on the Kinetics-600 dataset, we replaced the softmax output layer with a single output neuron with sigmoid activation and continued training with the CT ...
Soft3D [24] 31.57 0.964 0.126 Deepview[6] 31.60 0.978 0.085 NeX (Ours) 35.84 0.985 0.083 Ground truth Ours DeepView[6] Ground truth Ours NeRF[22] Ground truth Ours NeRF[22] (a) Spaces dataset: Scene 056 (b) Shiny dataset: CD (c) Shiny dataset: Tools Figure 4: The top row shows...
AI2-THOR: an interactive 3D environment for visual AI. Preprint at https://arxiv.org/abs/1712.05474 (2017). Lin, T.-Y. et al. Microsoft COCO: common objects in context. In Computer Vision—ECCV 2014, Lecture Notes in Computer Science (eds Fleet, D. et al.) 740–755 (Springer, ...
With an anti-aliasing phase-only encoding method, we experimentally demonstrate speckle-free, natural-looking, high-resolution 3D holograms. Our learning-based approach and the Fresnel hologram dataset will help to unlock the full potential of holography and enable applications in metasurface design6,7...