Egor Zakharov
@eozakharov
Research Scientist @ Meta
📢GeomHair: Reconstruction of Hair Strands from Colorless 3D Scans📢 We present a novel method to reconstruct hair strands from colorless 3D scans by extracting orientation cues directly from the mesh surface geometry by finding local characteristic lines and from shaded…
🎉 I’m happy to share that 𝗯𝗼𝘁𝗵 𝗚𝗘𝗠 𝗮𝗻𝗱 𝗦𝘆𝗻𝗦𝗵𝗼𝘁 got accepted to 𝗖𝗩𝗣𝗥 𝟮𝟬𝟮𝟱! Check out the papers, code, and comparisons below: 🔹 GEM: github.com/Zielon/GEM 🔹 SynShot: github.com/Zielon/SynShot Thanks to all collaborators, and see you in Nashville! 👋
📢📢 Last week, we announced Pippo - a DiT that generates 1K res. turnarounds from a single iPhone photo (even occluded ones)! Here’s the deep dive thread unpacking everything we learned! ⬇️
I’m happy to share that I’m starting a new position as a Research Scientist at Meta, Codec Avatars team! Working in this team has been my dream job since my early PhD days 😊 I'm super excited about what comes next!
After some extra time and additional work, I am happy to announce that D3GA will be presented at 3DV2025 in Singapore. The code and dataset can be found below. 🚀🚀 zielon.github.io/d3ga/ github.com/facebookresear…
Meta presents: Pippo : High-Resolution Multi-View Humans from a Single Image Generates 1K resolution, multi-view, studio-quality images from a single photo in a one forward pass
Today is my last day at ETH Zurich!🥹 This has been a fantastic time. I found a lot of new collaborators and friends in and outside of Zurich. Thanks to all the members of the AIT lab for being incredible people to work with 😊 I'm excited about what comes next. Stay tuned!🤓
📢Happy to announce that the code for Joker is now publicly available: github.com/malteprinzler/… Including pretrained weights and interactive demos 🤓 Feel free to play around!
(1/5) Excited to announce our latest project: -> Joker: Conditional 3D Head Synthesis with Extreme Facial Expressions <- From one reference image we generate a 3D reconstruction with a novel extreme expression controlled with a 3DMM and text. Webpage: malteprinzler.github.io/projects/joker/
🚀 We present SynShot! A novel method leveraging synthetic prior to create fully drivable 3D head avatars using only a few shots (typically just 3 images).🎭✨ zielon.github.io/synshot arxiv.org/abs/2501.06903
Excited to present our recent work "LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models" next week at #NeurIPS2024. Please join us at our poster session next Thursday (December 12th) from 11:00 - 14:00 at East Exhibit Hall A-C #2604. 👇🧵
LiteVAE Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models Advances in latent diffusion models (LDMs) have revolutionized high-resolution image generation, but the design space of the autoencoder that is central to these systems
A purely synthetic face prior can generalize to casual in-the-wild captures and stylized faces 🤯 I'm happy to share our @SIGGRAPHAsia paper “Cafca: High-quality Novel View Synthesis of Expressive Faces from Casual Few-shot Captures.” syntec-research.github.io/Cafca/
(1/5) Excited to announce our latest project: -> Joker: Conditional 3D Head Synthesis with Extreme Facial Expressions <- From one reference image we generate a 3D reconstruction with a novel extreme expression controlled with a 3DMM and text. Webpage: malteprinzler.github.io/projects/joker/
Gaussian Haircut (#ECCV2024) featured on 2-minute papers: youtu.be/FyC5ZAMWDi4?si…
📢📢Introducing "Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models" TL;DR: We show that with a few modifications to how the CFG update is applied, we can vastly mitigate the oversaturation and artifacts of high guidance scales. See the 🧵
Had a lot of fun presenting our poster yesterday with @ness_pirs! 😃 Talked with many people interested in strand-based hair modelling, so hopefully we’ll see more works in this area in the future.
📢 Code is out! 📢 It runs end-to-end from an input video to the visualization below, no manual processing required! I will also be happy to chat about this work today at #ECCV2024 in the afternoon session: PS-6-#278
I'm happy to announce Gaussian Haircut✂️, our recent hair reconstruction work that will appear at #ECCV2024! We'll present it in the Thursday afternoon session. Project page: eth-ait.github.io/GaussianHaircut The code is coming soon!
Wow! Sapiens is nominated for ECCV best paper!! Presentation info: Oral 1C, Wed, 2nd Oct, 1:30 p.m. CEST, Silver Room. Poster 113. GitHub: github.com/facebookresear…
Are you interested in hair reconstruction, human pose and shape estimation, digital human with clothing deformation, and hand-object interaction? Checkout our ECCV papers in the poster session at #ECCV2024! See 🧵.
Human reconstruction always limited to tight-fitting clothing👕? Not anymore! In our #ECCV2024 paper ReLoo, we propose a method to reconstruct the detailed geometry and appearance of humans dressed in loose garments💃from only monocular in-the-wild videos!🥳 1/7
Estimating poses for egocentric hand-(object) interaction is a challenging due to occlusion, camera distortion and motion blur. In our #ECCV paper, we provide new benchmarks and perform analysis on hand-(object) pose estimation w/ #AssemblyHands and #ARCTIC @mu4yang @tkhkaeio