text2cinemagraph
ICON
| text2cinemagraph | ICON | |
|---|---|---|
| 3 | 6 | |
| 346 | 1,552 | |
| - | - | |
| 5.2 | 4.1 | |
| 8 months ago | 6 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
text2cinemagraph
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Navigating the Tempest
Use Text2Cinemagraph You should mention your prompt either sea, ocean or clouds as it uses the semantic of your prompt to segment the part to animate
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Synthesizing Artistic Cinemagraphs from Text
Code: https://github.com/text2cinemagraph/artistic-cinemagraph
ICON
- ControlNet fully integrated with Blender using nodes!
- Is there any AI that can compile several pictures of a person into a single, 3d version?
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[R][P] ICON: Implicit Clothed humans Obtained from Normals + Gradio Web Demo
github: https://github.com/YuliangXiu/ICON
- Show HN: Icon-3D Avatar Creator from 2D Pixels
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Icon: Towards Large-Scale Avatar Creation from In-the-Wild Pixels
Realistic virtual humans will play a central role in mixed and augmented reality, forming a critical foundation for the Metaverse and supporting remote presence, collaboration, education, and entertainment.
To enable this, new tools are needed to easily create large-scale 3D virtual humans that can be readily animated. However, current methods need either posed 3D scans captured by expensive scanning equipment or 2D images with carefully controlled user poses. Both of them can't scale up easily.
ICON ("Implicit Clothed humans Obtained from Normals") takes a step towards robust 3D clothed human reconstruction from in-the-wild images. This also enables creating animatable avatars directly from video with personalized and natural pose-dependent cloth deformation.
Homepage: https://icon.is.tue.mpg.de/
Github: https://github.com/YuliangXiu/ICON
Google Colab: https://colab.research.google.com/drive/1-AWeWhPvCTBX0KfMtgt...
What are some alternatives?
mmflow - OpenMMLab optical flow toolbox and benchmark
lightweight-human-pose-estimation.pytorch - Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
instruct-nerf2nerf - Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions (ICCV 2023)
ECON - [CVPR'23, Highlight] ECON: Explicit Clothed humans Optimized via Normal integration
dream-textures - Stable Diffusion built-in to Blender
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
aistplusplus_api - API to support AIST++ Dataset: https://google.github.io/aistplusplus_dataset
VIBE - Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
Text2Video - ICASSP 2022: "Text2Video: text-driven talking-head video synthesis with phonetic dictionary".
agi2nerf - Simple tool for converting Agisoft XML files to NERF JSON files for https://github.com/NVlabs/instant-ngp
rome - Realistic mesh-based avatars. ECCV 2022