Alexander Richard

I'm a research scientist @Meta in Pittsburgh where I work on audio-visual modeling for photorealistic avatars.

[Alexander Richard @AlexRichardCS]

github repository: https://t.co/5vmPiiwT7C

[Alexander Richard @AlexRichardCS]

‼️500h of 3D motion data released‼️
Our team at the Codec Avatars Lab just released a large scale dataset of 3D tracked human motion, including audio and text annotations. Check it out here: https://t.co/ZnRxNjtJx1

[Alexander Richard @AlexRichardCS]

Join our team for an internship in 2025!

[Michael Zollhoefer @MZollhoefer]

Looking for a research internship in 2025?

The Social AI Research group at Meta’s Codec Avatars Lab in Pittsburgh is offering topics such as neural rendering, body tracking, motion synthesis, and animation from multimodal sensor inputs.

Link:
https://t.co/iuNi6Lfr7Y

[Alexander Richard @AlexRichardCS]

Working on your next big speech paper but still looking for a suitable dataset?
Check out EARS: 100h of full-band expressive, anechoic recordings of speech from 107 speakers with 22 different emotions, 7 different reading styles, and more.
https://t.co/MSdUp72Vb1

[Juan Pino @juanmiguelpino]

If you're at #CVPR2024 this week, don't miss talking to @AlexRichardCS we are hiring for postdoctoral and full time positions! https://t.co/duh7vsy1Mz https://t.co/1jlojI6oHu

[Andrew Owens @andrewhowens]

Want to make computers that can see *and* hear? Come to the Sight and Sound workshop on Monday, 6/17 at #CVPR2024!

Schedule: https://t.co/QzzRMz73CY

Invited talks by:
@HildeKuehne, @ShyamGollakota, @RuohanGao1, @TengdaHan, @SamuelPClarke, @AlexRichardCS

[Changan Chen @changanvr]

📢Curious about the future of 3D scene understanding? Join us at the 1st Workshop on Multimodalities for 3D Scenes @CVPR! Learn about the latest research on using vision, audio, touch, and language to understand 3D scenes around us.

📅June 17, 1:30-5:20PM
https://t.co/mwzTFWF6HB

[Changan Chen @changanvr]

We have 4 amazing speakers (@xiaolonw, @andrewhowens, @KaterinaFragiad, Linda Smith) to cover different modalities, from vision, language, robotics, touch, and cognitive science.

Co-organizing with Angel Chang, @_krishna_murthy, @AlexRichardCS, Kristen Grauman.

#AI #CVPR

[Alexander Richard @AlexRichardCS]

Real Acoustic Fields are here!
Check out or dataset of densely captured room impulse responses paired with multi-view images! See you all on CVPR :)
project page: https://t.co/4amfXqqTZF
arxiv: https://t.co/CGwmez9HwZ

[Boz @boztank]

Always good to see the progress we’re making in our labs in NYC and (in the case of these photos) Pittsburgh...

[Alexander Richard @AlexRichardCS]

@angrypenguinPNG @_akhaliq Nice. As Mentioned in the google collab, lip sync gets significantly better if you have at least 10 seconds of audio :)

[Alexander Richard @AlexRichardCS]

@danveloper The restriction comes from our data collection: we only train on dyadic conversations, so the model has never seen 3+ people in the same environment.

[Alexander Richard @AlexRichardCS]

Motion generation for photorealistic avatars? Say no more!
Check out how we animate full body avatars exclusively from audio input!

Paper: https://t.co/6w7M96FoGW
Project page: https://t.co/Xny77x54iE
Dataset + Code: https://t.co/yM0VPfv5wN

[Alexander Richard @AlexRichardCS]

3D body models now have sound!
We demonstrate 3D spatial audio synthesis for 3D full body models. (NeurIPS 2023 Spotlight)

Paper: https://t.co/hWJZEyIs5G
Dataset + Code (to be released): https://t.co/0Uf1by98We

[Changan Chen @changanvr]

Work done in collaboration with @AlexRichardCS, @ovrdr, Vamsi Ithapu, @NataliaNeverova, Kristen Grauman, and Andrea Vedaldi @MetaAI @RealityLabs

The poster session is Tues-PM and I will also give a talk at the sight and sound workshop Monday 4:30pm.

[Yossi Adi @adiyossLC]

A new generalized and universal audio-visual speech enhancement model, powered by SSL.
A single model for denoising, source sep, inpainting and lip-reading!

Checkout the paper and demo video!!
🗣️🤖🔊

More details below
with @mhnt1580

[AK @_akhaliq]

Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
abs: https://t.co/YtzsNfqTo4
project page: https://t.co/5UohjEpLBY

[Emre Aksan @emreaksan]

📢Excited to share our recent #ECCV2022 paper: "LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space" with Shugao Ma, @akcalakcal, Stanislav Pidhorskyi, @AlexRichardCS, Shih-En Wei, Jason Saragih and @OHilliges.

[Alexander Richard @AlexRichardCS]

Happy to be on the list of outstanding reviewers for @eccvconf with my dear friends and coworkers @aayushbansal and @c_richardt
Congratulations!

[European Conference on Computer Vision #ECCV2026 @eccvconf]

List of #ECCV2022 Outstanding Reviewers. Thank you all for your service! 👏

https://t.co/PHt4mVIoof

[Alexander Richard @AlexRichardCS]

**Dataset Release!**
We released high-quality 3D face data of 13 persons captured with up to 150 cameras while performing 100+ facial expressions!
https://t.co/hwAP7zHzHq