PhD student at @MIT @Cornell 2024 Graphics, vision

New York, NY
Eric Ming Chen retweeted
I am open-sourcing DeckWerk, a multi-platform slide editor with stellar video support, real-time collaboration, and Agent support. I used to be on Linux but had to switch to Mac b/c there was no good enough slide editor - @OmarchyLinux & @dhh inspired me to vibe-code my own, so I'm finally back on Linux! Install from source via GitHub (installers coming soon!): github.com/vsitzmann/deckwer…
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Eric Ming Chen retweeted
We discovered that our latest Dataset Distillation project can be used to create some beautiful synthetic images based on an artist's body of work! Come see us at the @eccvconf Art Gallery starting today! Explanation and some of my favorites in thread below: 1/ (Claude Monet)
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Eric Ming Chen retweeted
Introducing MilliVid, our new method for long-context video generation! MilliVid creates videos that are consistent over long time spans, without using retrieval heuristics or 3D maps! (1/n) davidcharatan.com/millivid/#
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Eric Ming Chen retweeted
Many of my students / collaborators are at CVPR - find them & chat! @ottogin1, diffusion models @ericmchen1, latent actions & robotics @RyuHyunwoooo, latent actions & robotics @ekim2339, robotics, view synthesis @SimulatedAnneal, robotics @twmitchel, latent actions & video
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Eric Ming Chen retweeted
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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Eric Ming Chen retweeted
Come check out our talk at #CHI2026 tomorrow (Fri) at 9:45am! We present CineCraft, an interactive mobile app that unifies planning, capture, and post-processing for cinematography on a single device. Fun combining my filmmaking hobbies with research! megatran.github.io/cinecraft
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If you're at @wacv_official tomorrow come see our poster on Snapmoji! It's our system to generate and animate 3D avatars of yourself. I'll be at poster location 51 from 4:00-5:45 on Sunday!
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This work was done during my internship at Snap Research, before starting my PhD, with Di Liu, @MaSizhuo60625, Michael Vasilkovsky, Bing Zhou, Qiang Gao, Wenzhou Wang, Jiahao Luo, Dimitri Metaxas, @vincesitzmann, and Jian Wang
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Check out Evan's work on scaling view synthesis transformers!
How do you train compute-optimal novel view synthesis models? In our CVPR ‘26 paper Scaling View Synthesis Transformers, we uncover key design choices through scaling and careful ablations--and along the way train a new SoTA with 3x less compute. (1/n)
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Eric Ming Chen retweeted
I think here it is much clearer that they are using 3dgs.
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Wow, it seems like the @Olympics broadcast is using Gaussian splats now. Some "spikeys" at the 10 second mark
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Eric Ming Chen retweeted
Introducing Large Video Planner (LVP-14B) — a robot foundation model that actually generalizes. LVP is built on video gen, not VLA. As my final work at @MIT, LVP has all its eval tasks proposed by third parties as a maximum stress test, but it excels!🤗 boyuan.space/large-video-pla…
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Eric Ming Chen retweeted
Happy to finally share our latest work on Dataset Distillation! "Dataset Distillation for Pre-Trained Self-Supervised Vision Models," set to appear at #NeurIPS 2025! We learn 1 image per class to train linear heads for pre-trained models. linear-gradient-matching.git… 1/6
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Eric Ming Chen retweeted
🔈@SeanXZhan and I are excited to share PhysiOpt, a differentiable physics optimizer that improves the physical integrity of 3D generative model outputs, which we will present at SIGGRAPH Asia 2025 in collaboration with Evan Thompson, Kenney Ng, and Mina Konaković Luković.
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Eric Ming Chen retweeted
This is more apparent than ever for #ICLR2026. Reviewers accusing authors of abusing AI. Authors accusing reviewers of abusing AI. Are they right? Maybe. But regardless, everyone is looking over their shoulders and at each others' throats.
One frustrating AI impact is the resulting lack of trust, esp when trust feels lower than ever. it's ubiquitous, but e.g., a bad review may have prev been blamed on a lazy or ignorant reviewer. Now the accusation is that it's LLM generated: maximally lazy to the point of malice.
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Eric Ming Chen retweeted
When you think of “time-lapse video,” what usually springs to mind is a camera fixed on a tripod taking image after image at predetermined intervals. But what if you could do the same thing by taking out your phone and snapping a picture every time you walk past a certain tree on your way to work? No tripod necessary. A @CornellCIS research group has developed software that could let anyone with a camera-equipped mobile phone capture subtle changes over time – of, say, a construction site or the changing seasons – and turn them into a panoramic time-lapse video. More at news.cornell.edu/stories/202….
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Come see our talk on "Pocket Time-Lapse" at SIGGRAPH today at 4pm in the Image Representation, Editing, & Generation session! West Building, Rooms 118-120. With @zzigakovacic , @madhavaggar and @AbeDavis
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Eric Ming Chen retweeted
How can we use wide-FOV cameras for reconstruction? We propose self-calibration Gaussian Splatting that jointly optimizes camera parameters, lens distortion, and 3D Gaussian representations to directly reconstruct from a set of wide-angle captures. page: denghilbert.github.io/self-c…
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Eric Ming Chen retweeted
Announcing Diffusion Forcing Transformer (DFoT), our new video diffusion algorithm that generates ultra-long videos of 800+ frames. DFoT enables History Guidance, a simple add-on to any existing video diffusion models for a quality boost. Website: boyuan.space/history-guidanc… (1/7)
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