Fantasy-Card-Diffusion: Dreambooth model trained on ~35,000 custom tagged Magic: the Gathering art pieces, to 140,000 steps @huggingface model: https://t.co/z9y6kO00E1
— AK (@_akhaliq) November 23, 2022
reddit thread: https://t.co/WyA6s8N0GX
github: https://t.co/dsZn3UEhrT pic.twitter.com/Zg4VgcQq9r
Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition
— AK (@_akhaliq) November 23, 2022
abs: https://t.co/A4bmxam8p0
project page: https://t.co/CDIpU9hVGK pic.twitter.com/YbuDvkHVKl
EDICT: Exact Diffusion Inversion via Coupled Transformations
— AK (@_akhaliq) November 23, 2022
abs: https://t.co/ZEp7BMwHcR pic.twitter.com/D8tINShOOe
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark
— AK (@_akhaliq) November 23, 2022
abs: https://t.co/CgS0RDlI4U pic.twitter.com/A7Tplszo86
DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models
— AK (@_akhaliq) November 23, 2022
abs: https://t.co/erijwxpeRW
project page: https://t.co/dLjkJDBfJa pic.twitter.com/1eCXpTsGKT
Performing Neural Architecture Search (NAS) to identify optimal NN architectures can be cumbersome, time-consuming, and requires expertise.
— PyTorch (@PyTorch) November 23, 2022
Read more in this 🧵for how to use Multi-Objective Bayesian NAS in Ax to overcome these challenges.
1/4 pic.twitter.com/5KIgrXQDCq
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
— AK (@_akhaliq) November 22, 2022
abs: https://t.co/xJpOrT5TtR
github: https://t.co/p9hNRPU556@huggingface model: https://t.co/4qTRGDW7ws pic.twitter.com/AzVocAs40B
ClipCrop: Conditioned Cropping Driven by Vision-Language Model
— AK (@_akhaliq) November 22, 2022
abs: https://t.co/CzRBL0hgaz pic.twitter.com/IdfYMYGOeX
SinFusion: Training Diffusion Models on a Single Image or Video
— AK (@_akhaliq) November 22, 2022
abs: https://t.co/3ssJ6zns6y
project page: https://t.co/J84X97idzV pic.twitter.com/MscHbSHoSL
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
— AK (@_akhaliq) November 22, 2022
abs: https://t.co/Id4oqu0omU pic.twitter.com/hpmr6EtL8z
Today we’re releasing TorchMultimodal, a new PyTorch library containing models, building blocks and end to end examples for training and evaluating SoTA multimodal models.
— PyTorch (@PyTorch) November 21, 2022
📖 Learn more about scaling multimodal foundation models in the PyTorch Ecosystem: https://t.co/CPR1MA9hSx pic.twitter.com/M24YTqQTpO
Explainability Via Causal Self-Talk
— AK (@_akhaliq) November 21, 2022
abs: https://t.co/731kBBetU7 pic.twitter.com/8Jc0ShRz6k
