youming.deng

youming.deng

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youming.deng @denghilbert

Feb 22

We present the SOTA feed-forward 3DGS pipeline Selfi, which was accepted by #CVPR2026 Project Page: denghilbert.github.io/selfi

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Žiga Kovačič

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Žiga Kovačič

@zzigakovacic

Jun 3

How well can a model watch a short video of some physical dynamics and actually predict what happens next? Introducing MPMWorlds: a new dataset and benchmark to evaluate how well models can reconstruct and extrapolate physical dynamics from video. zzigak.github.io/mpmworlds/ 🧵👇 (1/n)

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Jihan Yang

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Jihan Yang

@jihanyang13

May 26

Camera pose matters for video understanding! Today's MLLMs excel at recognizing activities, but still struggle with the underlying space and ego/object dynamics in video. We trace this gap to a missing piece: camera pose. Introducing Cambrian-P: a multimodal LLM natively grounded in camera pose. (1/n)

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Tobias Fischer

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Tobias Fischer @TobiasFischer11

May 30

Do 3D reconstruction transformers really need a billion parameters, or are most of those layers just doing the same thing over and over? Introducing Déjà View: a single transformer block, looped K times, that matches or beats models 8–10× its size with lower compute. 🧵

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youming.deng

youming.deng @denghilbert

May 13

bunch of bullshit

Dr. Manabendra Saharia

@m_saharia

May 12

Yesterday, I was giving an intro talk to our dept's new PhD students. Technical things aside, my number 1 suggestion has remained the same over the years: Treat your PhD like a job. - Avoid 1.5h lunch and three tea breaks. - Avoid gossiping and loitering at work. - Lab at 9 am and leave at 6 pm. Being productive till 11 pm in the lab is a lie people till themselves when their day starts at 1 PM. Everything worth doing can be done with high intensity focus during work hours. And having fun in life is the secret to being productive in a marathon.

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Curry Flurry 😈

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Curry Flurry 😈@BabyFaceDubs

Apr 25

Oracle crowd was a devils pit man

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Impressions

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Impressions

@impression_ists

Apr 23

Vincent van Gogh, Novels and Rose

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Songyou Peng

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Songyou Peng @songyoupeng

Apr 23

Yay, finally! Introducing Vision Banana🍌 from @GoogleDeepMind, our unified model that outperforms SoTA specialist models on various vision tasks! By treating 2D/3D vision tasks as image generation, we unlock a new foundation for CV. Project page: vision-banana.github.io (1/5)

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Gene Chou

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Gene Chou

@gene_ch0u

Apr 22

Introducing CityRAG! We wanted video generative models to be grounded in the real world — if I’m in London, I want to look around and actually see Big Ben. CityRAG generates videos of cities featuring real buildings and roads, with arbitrary weather, people, and cars. 1/N page: cityrag.github.io paper: arxiv.org/abs/2604.19741

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youming.deng

youming.deng @denghilbert

Apr 14

Super cool. Self-improving makes model better and better!

Qianqian Wang @QianqianWang5

Apr 14

Most multi-view reconstruction models need full supervision. We show they can self-improve without any ground truth labels. Introducing SelfEvo: Self-Improving 4D Perception via Self-Distillation. Up to 36.5% in video depth, 20.1% in camera estimation, zero annotation.

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Natalie Khalil

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Natalie Khalil

@natalienkhalil

Apr 13

Basically

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Scott

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Scott

@Havenlust

Apr 9

Claude Monet

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youming.deng

youming.deng @denghilbert

Apr 9

Our paper was selected as an oral presentation in #CVPR2026

youming.deng @denghilbert

Feb 22

We present the SOTA feed-forward 3DGS pipeline Selfi, which was accepted by #CVPR2026 Project Page: denghilbert.github.io/selfi

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L'Art Impressioniste

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L'Art Impressioniste

@allontanarsio

Apr 5

Claude Monet

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Scott

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Scott

@Havenlust

Mar 24

Vincent van Gogh or Claude Monet?

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L'Art Impressioniste

youming.deng retweeted

L'Art Impressioniste

@allontanarsio

Mar 21

Le Port de Trieste, Egon Schiele

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Scott

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Scott

@Havenlust

Mar 18

Vincent Van Gogh

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Impressions

youming.deng retweeted

Impressions

@impression_ists

Mar 16

Monet, Gare Saint Lazare

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Sophie Wang

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Sophie Wang @SophieLWang

Mar 13

I made an interactive blog post about how JPEG image compression works: sophielwang.com/blog/jpeg

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Zhikai Zhang

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Zhikai Zhang

@Zhikai273

Mar 15

🎾Introducing LATENT: Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data Dynamic movements, agile whole-body coordination, and rapid reactions. A step toward athletic humanoid sports skills. Project: zzk273.github.io/LATENT/ Code: github.com/GalaxyGeneralRobo…

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Wholesome Side of 𝕏

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Wholesome Side of 𝕏

@itsme_urstruly

Mar 9

Bro pulled off the best video of his life

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