A collection of state-of-the-art human motion transfer works
Boosting 3D Adversarial Attacks with Attacking On Frequency
Adversarial Shape Perturbations on 3D Point Clouds
On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks
https://github.com/cuge1995/awesome-3D-point-cloud-attacks
Minimal Adversarial Examples for Deep Learning on 3D Point Cloud
SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators
Adversarial Parametric Pose Prior
WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients
WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation
https://barquerogerman.github.io/FlowMDM/ https://machinelearning.apple.com/research/hugs https://tr3e.github.io/omg-page/ https://yukangcao.github.io/DreamAvatar/ https://simplehand.github.io/ https://github.com/zixiangzhou916/AvatarGPT https://korrawe.github.io/dno-project/ https://goatstack.ai/topics/programmable-motion-generation-for-open-set-motion-control-tasks-feongj https://europe.naverlabs.com/crocoman/ https://exitudio.github.io/MMM-page/ https://zju3dv.github.io/text_scene_motion/ TBD