VGGT-Ω @jianyuanwang.bsky.social et 9 al. tl;dr: 1) simplicity to scale compute(no pcl head, no matching head, but losses kept, no rays for intrinsics, less DPT) 2) Complex video SfM/filtering procedure to scale data. 3) works great on IMC-2025(not in paper, I tested) arxiv.or…
Who's Who of AI
Dmytro Mishkin
Why they matter
Directory member with public evidence across AI research.
- AI signals
- 4 past 30d
- Sources
- 3 distinct domains
- Discussões
- 5 past 30d
- Latest signal
- 11h ago
Marrying classical CV and Deep Learning. I do things, which work, rather than being novel, but not working.
http://dmytro.ai
What they're sharing
VGGT-$Ω$ arxiv.org
Glob3R: Global Structure-from-Motion with 3D Foundation Models arxiv.org
Doomed to Re-Annotate, Forever: The ImageNet Story arxiv.org
thecv… openreview.net
BLASt3R: Bundle Adjustment of Any Image Set with Multi-View Matching and Monocular Priors arxiv.org
View on Bluesky →
DGSfM: Depth-Guided Scale-Aware Global Structure-from-Motion arxiv.org
AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors arxiv.org
CSS-BA: Gate-Guided Column Space Search for Bundle Adjustment arxiv.org
Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes arxiv.org
S23DR 2026 Winning Solution arxiv.org
Edge Prediction for Roof Wireframe Reconstruction with Transformers arxiv.org
AI: Enabling, Productivity and Mental Health – Dmytro’s Blog blog.dmytro.ai
Articles & links
Glob3R: Global Structure-from-Motion with 3D Foundation Models Junyuan Deng et 9 al. tl;dr: finetune Pi3 matching head in RoMav2 style, use SALAD to sort seqs, do Glomap-like global SfM arxiv.org/abs/2607.09225
AI Weekly's analysis
→
- Glob3R augments a frozen Pi3X 3D foundation backbone with a lightweight dense matching head that predicts image warps between frames.
- Those warps feed sparse multi-view feature tracks into global motion averaging and bundle adjustment across large unordered image collections.
- The authors report gains over feed-forward foundation baselines on indoor, outdoor, driving, and unordered SfM benchmarks, plus better neural rendering.
Read full analysis →
Doomed to Re-Annotate, Forever: The ImageNet Story Illia Volkov, Nikita Kisel, Tetiana Mishkina, @klara-cz.bsky.social Jiri Matas tl;dr: ImageNet val annotation with all bboxes, careful study of concepts, attributes (is drawing of a cat, a cat?) Year of efforts. 1/ arxiv.org/a…
Structure from Motion in Deep Learning Era - save Wednesday September 9 morning! 3 speakers, 8 papers. sfm-dl.fbk.eu Papers are at OpenReview: openreview.net/group?id=thecv… #ECCV2026 @eccv.bsky.social
Dmytro Mishkin reposted
BLASt3R: Bundle Adjustment of Any Image Set with Multi-View Matching and Monocular Priors @vincentleroy.bsky.social, @weinzaepfelp.bsky.social, Lojze Zust, Yohann Cabon, Jérome Revaud tl;dr: MUSt3R + MASt3R + depth priors + BA arxiv.org/abs/2609.05210
DGSfM: Depth-Guided Scale-Aware Global Structure-from-Motion Sithu Aung,Viktor Kocur,Yaqing Ding, @sattlertorsten.bsky.social Zuzana Kukelova tl;dr: carefully engineered pipeline with dopplegangers++ graph filtering, monodepth, other steps to help GloMAP. Good IMC21 eval arxiv…
AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Zhiyun Deng, Luis Sentis tl;dr: synthetic data FTW, tiny RoMa is surprisingly good for UAV-Satellite. arxiv.org/abs/2607.14009
CSS-BA: Gate-Guided Column Space Search for Bundle Adjustment Ayano Kaneda, Takafumi Taketomi, Shugo Yamaguchi, Shigeo Morishima tl;dr: solve top-k cameras on low-dim basis -> avoid collapse with weak constraints arxiv.org/abs/2607.15652
Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes Xi Li, Linyuan Li, Yan Wu, Tong Rao, Kai Zhang, Xinchen Hui, Cihui Pan tl;dr: panoramas for indoor, and covisibility transformer to select reference frame prior -- important for indoor VGGT. arxiv.org/abs/2606.30047
S23DR 2026 Winning Solution Jan Skvrna Miroslav Purkrabek, @lukasneumann.bsky.social tl;dr: Denoising flow-matching for point cloud to wireframe. arxiv.org/abs/2606.06695
Edge Prediction for Roof Wireframe Reconstruction with Transformers Gustav Hanning, Ludvig Dillén, @jastermark.bsky.social Johanna Lidholm, Viktor Larsson tl;dr: DETR on point cloud for predicting wireframe. 2nd place in S23DR-2026 challenge. arxiv.org/abs/2606.02406
AI: Enabling, Productivity and Mental Health. My 3 years of working with AI help. blog.dmytro.ai/posts/2026-0...
Their own posts
Recent commentary
Tomorrow is a better day...because USM3D workshop at @cvprconference.bsky.social is happening? 6 keynote speakers. 2 challenges which I am finally not ashamed of? Debatable. Is it our final competition at HuggingFace? The only way to figure out is to attend. Mile High 3B. #CVPR2026
Using generated AI “photos” in restaurant/ food delivery menus/recipe websites is lying to your customers/users. Using stock photos is lying to your customers. Just photo YOUR damn dish. You can even “enhance” it with AI, but at least ingredients, portions, texture stays real.
From the org/workshop PC, CMT is miles above OpenReview. Literally, I cannot do anything w/o asking ChatGPT how to do it. Never happened with CMT.
Just thought in EU I was safe from "tax separate" idiocy, but here go ChatGPT/Claude invoices with VAT separately. I guess I have to be happy that I don't need to add tip on top of that :)
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