Ph.D. Candidate @cornell_cs. Computational imaging. Prev @uwcse @runwayml

Ithaca, NY
Joined December 2021
Come to our #SIGGRAPH2025 talk today at 2pm at the Computational Imaging, Lighting & Display session in the West Building rooms 118-120 to learn more!
Excited to share our ACM TOG/ SIGGRAPH '25 work on Noise-Coded Illumination (NCI)! We use coded noise to add an invisible watermark to lighting that helps detect fake or manipulated video. With @gfxptr and collaborators @zekun_hao and @SergeBelongie. url: peterfmichael.com/nci/
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This was such a fun project to work on! Check it out!
Excited to share our ACM TOG/ SIGGRAPH '25 work on Noise-Coded Illumination (NCI)! We use coded noise to add an invisible watermark to lighting that helps detect fake or manipulated video. With @gfxptr and collaborators @zekun_hao and @SergeBelongie. url: peterfmichael.com/nci/
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Peter Michael retweeted
If you have a career in research, or if you aspire to have a career in research, you must watch (or read) Dick Hamming's "You and Your Research". Easily the best advice out there on the subject. Video: youtube.com/watch?v=a1zDuOPk… Transcript: cs.virginia.edu/~robins/YouA…
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Peter Michael retweeted
Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Generation abs: arxiv.org/abs/2304.13681 project page: ray-cond.github.io/
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An app developed by researchers in @AbeDavis’ group uses augmented reality to help users repeatedly capture images with a phone or tablet from the same location to make time-lapse videos. ReCapture is now available in the Apple app store. Read more: bit.ly/3tDxHMa
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At today's @ImageUCPH workshop, section head @KErleben asked me to speak about "how to get cool research ideas." (1/25)
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wild.
We’re pleased to introduce Make-A-Video, our latest in #GenerativeAI research! With just a few words, this state-of-the-art AI system generates high-quality videos from text prompts. Have an idea you want to see? Reply w/ your prompt using #MetaAI and we’ll share more results.
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Peter Michael retweeted
Is there a doctor on the plane? -Yes, but not that kind of doctor. -The passenger in 36c is trying to inpaint an image using a pre-trained stable diffusion model and simply copy-pastes the inpainting observed part in place, after each iteration! -Ok, I got this.
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Peter Michael retweeted
I'll tell you a secret about having more impact. You've got to focus on fewer things, ideally just one -- your most ambitious idea. And you've got to commit and finish it.
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📢📢📢 Thrilled to introduce "𝐌𝐨𝐛𝐢𝐥𝐞𝐍𝐞𝐑𝐅: exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures" → with 𝐥𝐢𝐯𝐞 𝐝𝐞𝐦𝐨𝐬 arxiv.org/abs/2208.00277 (Internship project lead by @ZhiqinChen3)
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Peter Michael retweeted
We present Latent Diffusion Models in tomorrow's Image & Video Synthesis and Generation session @CVPR in Hall B1 (Thur. 08:30-10:18). Join us for a chat at Poster #7 between 10:00-12:30 in Hall B2-C and sample some jazz! With @robrombach @andi_blatt D. Lorenz @runwayml B. Ommer
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Peter Michael retweeted
Feel pleased to show off our upcoming @CVPR paper, HumanNeRF. Our method turns a Youtube video of moving people into a free-viewpoint video! Page: grail.cs.washington.edu/proj… Video: youtu.be/GM-RoZEymmw with Brian Curless, @_pratul_, @jon_barron, @kemelmi More in thread! (1/7)
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Peter Michael retweeted
AI can unlock joint human/computer creativity! Imagen is one direction we are pursuing: gweb-research-imagen.appspot… "A high contrast portrait of a very happy fuzzy panda dressed as a chef in a high end kitchen making dough. There is a painting of flowers on the wall behind him."
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Automate the tedious. Focus on creativity. Incredible @runwayml research collab with between @pess_r @SenguptRoni @gfxptr @uwcse
Towards Unified Keyframe Propagation Models abs: arxiv.org/abs/2205.09731 github: github.com/runwayml/guided-i…
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Peter Michael retweeted
Collaborative video editing is here! 👨‍👨‍👦‍👦 Real-time multiplayer editing 🔗 Invite collaborators with a single link 🌍 Make projects public 🏢 Create Teams (early beta coming soon!) Start collaborating now: runwayml.com
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Very exciting 'breaking' news! CompVis (research group behind VQGAN) have just released a new 1.45B parameter model to its Latent Diffusion model: github.com/CompVis/latent-di… From the released image it seems like it has an unprecedented text-synthesis capacity. More to follow soon
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So true 😭
When you discover that you used the wrong loss since a week or so... That;'s the issue with deep learning: it is quite robust to mistakes. With regular software you get a core dump or other strong signal when something is wrong. With DL you just get a less performing model.
Peter Michael retweeted
Ever wondered what it's like to work at Runway? Check out today's blog post for a peek into the interview process and day to day of our interns Sharon Lee and @gfxptr: bit.ly/3iTL7xW And yes — we're hiring!
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