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
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- 5d 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
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
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
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- 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 →
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
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
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