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Technical University of Munich
- Munich
- https://ceveloper.github.io/
- https://cvg.cit.tum.de/members/curreli
- in/ceciliacurreli
- @CeciCurrl
- @ceciliacurreli.bsky.social
Stars
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
MusePose: a Pose-Driven Image-to-Video Framework for Virtual Human Generation
Official codebase for 3D-LFM paper. Accepted at CVPR, 2024.
[NeurIPS 2024] Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
IVON optimizer for neural networks based on variational learning.
A curated list of papers, code, and resources pertaining to generative image composition or object insertion.
A conference poster format with structure, content, creation, and presentation recommendations.
Official implementation of "TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts (ECCV2022)"
[CVPR 2024] Official Implementation of "Seamless Human Motion Composition with Blended Positional Encodings".
zhenzhang-ye / HumanMAC
Forked from LinghaoChan/HumanMAC[ICCV-2023] Official code for work "HumanMAC: Masked Motion Completion for Human Motion Prediction".
The official implementation of the paper "MAS: Multiview Ancestral Sampling for 3D Motion Generation Using 2D Diffusion"
Denoising Diffusion Probabilistic Models
[ECCV 2020] Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.
[Paper] SoMoFormer: Multi-Person Pose Forecasting with Transformers
[ICCV2023] Official PyTorch Implementation of "BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction". ICCV 2023
Notes, material and various stuff collected while attending TUM Master's Degree
Official implementation of "Learning Decoupled Representations for Human Pose Forecasting" in PyTorch
COCO API - Dataset @ http://cocodataset.org/
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
A collection of awesome resources in Human Pose estimation.
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
a flexible scripting environment for realistic MR simulations
Multimodal Unsupervised Image-to-Image Translation
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN