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Pytorch Code for "BakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis"
[ECCV2022] The implementation for "Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis".
Code to run the sweepstake for World Cup 22
A repository for research on medium sized language models.
A Survey of Attributions for Large Language Models
The official GitHub page for the review paper "Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models".
Kubernetes extension for Visual Studio Code
Paint by Example: Exemplar-based Image Editing with Diffusion Models
A technical report on convolution arithmetic in the context of deep learning
A system for creating Dungeons & Dragons battle maps from a real-world OpenStreetMap scene.
12k labelled instances of dogs in-the-wild with 2D keypoint and segmentations. Dataset released with our ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximizati…
BANMo Building Animatable 3D Neural Models from Many Casual Videos
Official code release for CVPR 2022 paper gDNA: Towards Generative Detailed Neural Avatars
This is an implementation of PIFuhd based on Pytorch
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
An atmospheric growth and evolution model based on the EVo degassing model and FastChem 2.0
A PyTorch port of the Neural 3D Mesh Renderer
Code for paper ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop.
Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"
Benchmark Animal Dataset of Joint Annotations (BADJA) with example code, as introduced in "Creatures Great and SMAL: Recovering the shape and motion of animals from video" (ACCV 2018).
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans