ML Researcher. Strongly interested in rationality, epistemology, alignment, as well as generative models, their shortcomings and societal implications.
@sigma__dev If you do, the other bars will be longer too, and the improvement between the different methods will still be the same. Plus the figures are provided. But the better way would be to visually indicate with dashes that the left part of the bars is truncated.
Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model
abs: https://t.co/7PukJpWw2V
project page: https://t.co/q5NzKS9us5
🎉You have seen ControlNet's magic, now witness the power of grounded image generation using the state-of-the-art 💥GLIGEN (CVPR2023)💥
🔥This incredible Gligen webui is powered by @Gradio, hosted on 🤗Spaces, and is going brrr with community grant GPUs.🤑
😍Demo video - I generated an image of 'John Lennon using a PC' and then had fun augmenting it by creating subsequent bounding boxes and image generation.
Acess the mind-blowing @huggingface Space here - https://t.co/wcHb9gRqpu
Aidez nous à lever assez pour relever le débat ! :p (pardon je ne recommencerais plus). Plus sérieusement on porte ce projet à bout de bras depuis un an, aidez nous à passer à l’échelle et faire de la politique publique l’affaire de TOUS !
Glad to annouce that our latest paper "Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example" will be presented at CVPR Workshop AICC and CVFAD.
https://t.co/7syQvdEXXt
#CVPR#ML#AR
My first Deep Learning paper on HD Face Aging has been accepted at the AIM workshop of ECCV 2020!
Presentation video: https://t.co/GyNGlxagPE
Project page: https://t.co/MxlPAkcQUO
pdf: https://t.co/nKvtHYIcSJ
abs: https://t.co/DqMWMdziBG
#ai#deeplearning#machinelearning#gan
Checkout our paper on makeup synthesis using GANs, curently presented at the Advanced in Image Manipulation workshop of ECCV.
Project page: https://t.co/1d1ZyIOwvh
ArXiv: https://t.co/FuiDHfoL2v
Presentation video : https://t.co/PK9ut5tXps
#AI#GAN#ECCV20#AIM20#ML
CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer
pdf: https://t.co/koLLPww9nM
abs: https://t.co/f7EJiC44iU
project page: https://t.co/xWiA4QVV1t
In part 2 of his excellent series looking at generative #MachineLearning models on-device, @DespoisJ looks at what they might be able to do for text- and audio-based applications. https://t.co/bOMDeGxvnS