#WAC2022 https://xitter.cf/t.co/3GncgII1zK
Cannes · France
Joined September 2014
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WAC2022 retweeted
Creating, capturing and displaying immersive 3D scenes. Talk by Adrien Boisseau and George Drettakis from the INRIA Graphdeco team. At the 3rd Journée d'études #XR2C2 polyteh@Univ_CotedAzur @inria_sophia @Laboratoire_I3S – at Biot, France
WAC2022 retweeted
Musical metaverse: opportunities and challenges. Talk by Luca Turchet from @UniTrento at the 3rd Journée d'études #XR2C2 @Univ_CotedAzur @Laboratoire_I3S – at Biot, France
WAC2022 retweeted
Informed virtual environments and adaptive sensorial feedback. Talk by Indira Thouvenin of @utcompiegne at the 3rd Journée d'études #XR2C2. @Univ_CotedAzur @Laboratoire_I3S – at Biot, France
WAC2022 retweeted
ViAjeRo: XR and passengers of the future. Talk by Stephen Brewster from @UofGlasgow at the 3rd Journée d'études #XR2C2. @Univ_CotedAzur @Laboratoire_I3S – at Biot, France
WAC2022 retweeted
Computational models for natural visual perception and interaction in XR. Talk by Fabio Solari from @UniGenova at the 3rd Journée d'études #XR2C2. @Univ_CotedAzur @Laboratoire_I3S – at Biot, France
WAC2022 retweeted
If you want to use YOLO-World in your own project, you can do so through the @roboflow Inference Python package.
github: github.com/roboflow/inferenc…
WAC2022 retweeted
The YOLO-World YouTube tutorial is out!
please, let us know what you think!
- model architecture
- processing images and video in Colab
- prompt engineering and detection refinement
- pros and cons of the model
watch here: youtube.com/watch?v=X7gKBGVz…
↓ more resources
WAC2022 retweeted
The Diffusion Transformer paper, by my former-FAIR-and-current-NYU colleague @sainingxie and former-Berkeley-student-and-current-OpenAI engineer William Peebles, was rejected from CVR2023 for "lack of novelty", accepted at ICCV2023, and apparently forms the basis for Sora.
openaccess.thecvf.com/conten…
Here's my take on the Sora technical report, with a good dose of speculation that could be totally off. First of all, really appreciate the team for sharing helpful insights and design decisions – Sora is incredible and is set to transform the video generation community.
What we have learned so far:
- Architecture: Sora is built on our diffusion transformer (DiT) model (published in ICCV 2023) — it's a diffusion model with a transformer backbone, in short:
DiT = [VAE encoder + ViT + DDPM + VAE decoder].
According to the report, it seems there are not much additional bells and whistles.
- "Video compressor network": Looks like it's just a VAE but trained on raw video data. Tokenization probably plays a significant role in getting good temporal consistency. By the way, VAE is a ConvNet, so DiT technically is a hybrid model ;) (1/n)
WAC2022 retweeted
30 years of web browser market disruption
#CES2024
WAC2022 retweeted
[LIVE] Forum de l'Alternance | Métiers du numérique
Les entretiens vont bon train ! Beaucoup d'opportunités pour nos étudiants !
#alternance #numérique @MstratDigitale @JMCNice @Univ_CotedAzur @SopraSteria_fr @MonacoTelecom
WAC2022 retweeted
One of the most impressive CV works I've seen recently. Also huge kudos to Meta AI for sticking to open sourcing despite the trend increasingly going towards the opposite direction.
Today we're releasing the Segment Anything Model (SAM) — a step toward the first foundation model for image segmentation.
SAM is capable of one-click segmentation of any object from any photo or video + zero-shot transfer to other segmentation tasks ➡️ bit.ly/433YuBI
WAC2022 retweeted
We've released the Koala into the wild🐨
The Koala is a chatbot finetuned from LLaMA that is specifically optimized for high-quality chat capabilities, using some tricky data sourcing.
Our blog post: bair.berkeley.edu/blog/2023/…
Web demo: koala.lmsys.org
