Daniel Barath
@danielbarath.bsky.social
Senior Researcher at the CVG Group at ETH Zurich
Reposted by Daniel Barath
ReSplat: Learning Recurrent Gaussian Splats
@haofeixu.bsky.social, @danielbarath.bsky.social, @andreasgeiger.bsky.social, @marcpollefeys.bsky.social
tl;dr: rendering error->recurrent network->Gaussian updates
arxiv.org/abs/2510.08575
@haofeixu.bsky.social, @danielbarath.bsky.social, @andreasgeiger.bsky.social, @marcpollefeys.bsky.social
tl;dr: rendering error->recurrent network->Gaussian updates
arxiv.org/abs/2510.08575
October 10, 2025 at 7:14 PM
ReSplat: Learning Recurrent Gaussian Splats
@haofeixu.bsky.social, @danielbarath.bsky.social, @andreasgeiger.bsky.social, @marcpollefeys.bsky.social
tl;dr: rendering error->recurrent network->Gaussian updates
arxiv.org/abs/2510.08575
@haofeixu.bsky.social, @danielbarath.bsky.social, @andreasgeiger.bsky.social, @marcpollefeys.bsky.social
tl;dr: rendering error->recurrent network->Gaussian updates
arxiv.org/abs/2510.08575
Reposted by Daniel Barath
SupeRANSAC: One RANSAC to Rule Them All
@danielbarath.bsky.social
tl;dr: most accurate, but slow-ish RANSAC,
arxiv.org/abs/2506.04803
github.com/danini/super...
Sampling: PROSAC + P-NAPSAC for homography & rigid pose, PROSAC for epipolar
1/
@danielbarath.bsky.social
tl;dr: most accurate, but slow-ish RANSAC,
arxiv.org/abs/2506.04803
github.com/danini/super...
Sampling: PROSAC + P-NAPSAC for homography & rigid pose, PROSAC for epipolar
1/
June 16, 2025 at 7:25 AM
SupeRANSAC: One RANSAC to Rule Them All
@danielbarath.bsky.social
tl;dr: most accurate, but slow-ish RANSAC,
arxiv.org/abs/2506.04803
github.com/danini/super...
Sampling: PROSAC + P-NAPSAC for homography & rigid pose, PROSAC for epipolar
1/
@danielbarath.bsky.social
tl;dr: most accurate, but slow-ish RANSAC,
arxiv.org/abs/2506.04803
github.com/danini/super...
Sampling: PROSAC + P-NAPSAC for homography & rigid pose, PROSAC for epipolar
1/
Reposted by Daniel Barath
Excited to present our #CVPR2025 paper DepthSplat next week!
DepthSplat is a feed-forward model that achieves high-quality Gaussian reconstruction and view synthesis in just 0.6 seconds.
Looking forward to great conversations at the conference!
DepthSplat is a feed-forward model that achieves high-quality Gaussian reconstruction and view synthesis in just 0.6 seconds.
Looking forward to great conversations at the conference!
🏠 Introducing DepthSplat: a framework that connects Gaussian splatting with single- and multi-view depth estimation. This enables robust depth modeling and high-quality view synthesis with state-of-the-art results on ScanNet, RealEstate10K, and DL3DV.
🔗 haofeixu.github.io/depthsplat/
🔗 haofeixu.github.io/depthsplat/
June 5, 2025 at 12:09 PM
Excited to present our #CVPR2025 paper DepthSplat next week!
DepthSplat is a feed-forward model that achieves high-quality Gaussian reconstruction and view synthesis in just 0.6 seconds.
Looking forward to great conversations at the conference!
DepthSplat is a feed-forward model that achieves high-quality Gaussian reconstruction and view synthesis in just 0.6 seconds.
Looking forward to great conversations at the conference!
Reposted by Daniel Barath
🏠 Introducing DepthSplat: a framework that connects Gaussian splatting with single- and multi-view depth estimation. This enables robust depth modeling and high-quality view synthesis with state-of-the-art results on ScanNet, RealEstate10K, and DL3DV.
🔗 haofeixu.github.io/depthsplat/
🔗 haofeixu.github.io/depthsplat/
April 24, 2025 at 8:58 AM
🏠 Introducing DepthSplat: a framework that connects Gaussian splatting with single- and multi-view depth estimation. This enables robust depth modeling and high-quality view synthesis with state-of-the-art results on ScanNet, RealEstate10K, and DL3DV.
🔗 haofeixu.github.io/depthsplat/
🔗 haofeixu.github.io/depthsplat/
Reposted by Daniel Barath
🏆 CrossOver is accepted as a 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁 at #CVPR2025! ✨
💻 Fully open-sourced code with all pre-trained checkpoints: github.com/GradientSpac...
📡 Stay tuned for a deep-dive thread and what else we are cooking 🍳
💻 Fully open-sourced code with all pre-trained checkpoints: github.com/GradientSpac...
📡 Stay tuned for a deep-dive thread and what else we are cooking 🍳
🎉 Excited to share our latest work, CrossOver: 3D Scene Cross-Modal Alignment, accepted to #CVPR2025 🌐✨
We learn a unified, modality-agnostic embedding space, enabling seamless scene-level alignment across multiple modalities — no semantic annotations needed!🚀
We learn a unified, modality-agnostic embedding space, enabling seamless scene-level alignment across multiple modalities — no semantic annotations needed!🚀
April 7, 2025 at 10:20 PM
🏆 CrossOver is accepted as a 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁 at #CVPR2025! ✨
💻 Fully open-sourced code with all pre-trained checkpoints: github.com/GradientSpac...
📡 Stay tuned for a deep-dive thread and what else we are cooking 🍳
💻 Fully open-sourced code with all pre-trained checkpoints: github.com/GradientSpac...
📡 Stay tuned for a deep-dive thread and what else we are cooking 🍳
Reposted by Daniel Barath
Learning Affine Correspondences by Integrating Geometric Constraints
Pengju Sun, Banglei Guan, Zhenbao Yu, Yang Shang, Qifeng Yu, @danielbarath.bsky.social
tl;dr: DKM+AffNet?
arxiv.org/abs/2504.04834
Pengju Sun, Banglei Guan, Zhenbao Yu, Yang Shang, Qifeng Yu, @danielbarath.bsky.social
tl;dr: DKM+AffNet?
arxiv.org/abs/2504.04834
April 8, 2025 at 5:24 AM
Learning Affine Correspondences by Integrating Geometric Constraints
Pengju Sun, Banglei Guan, Zhenbao Yu, Yang Shang, Qifeng Yu, @danielbarath.bsky.social
tl;dr: DKM+AffNet?
arxiv.org/abs/2504.04834
Pengju Sun, Banglei Guan, Zhenbao Yu, Yang Shang, Qifeng Yu, @danielbarath.bsky.social
tl;dr: DKM+AffNet?
arxiv.org/abs/2504.04834
Reposted by Daniel Barath
Joint work with @sayandsarkar.bsky.social, Ondrej Miksik, @marcpollefeys.bsky.social, and @danielbarath.bsky.social
February 27, 2025 at 8:52 PM
Joint work with @sayandsarkar.bsky.social, Ondrej Miksik, @marcpollefeys.bsky.social, and @danielbarath.bsky.social
Reposted by Daniel Barath
🔗 arXiv: arxiv.org/abs/2502.15011
📂 Project page: sayands.github.io/crossover/
Joint work with Ondrej Miksik, @marcpollefeys.bsky.social, @danielbarath.bsky.social and @ir0armeni.bsky.social 🤝💡
📂 Project page: sayands.github.io/crossover/
Joint work with Ondrej Miksik, @marcpollefeys.bsky.social, @danielbarath.bsky.social and @ir0armeni.bsky.social 🤝💡
CrossOver: 3D Scene Cross-Modal Alignment
Multi-modal 3D object understanding has gained significant attention, yet current approaches often assume complete data availability and rigid alignment across all modalities. We present CrossOver, a ...
arxiv.org
February 26, 2025 at 10:02 PM
🔗 arXiv: arxiv.org/abs/2502.15011
📂 Project page: sayands.github.io/crossover/
Joint work with Ondrej Miksik, @marcpollefeys.bsky.social, @danielbarath.bsky.social and @ir0armeni.bsky.social 🤝💡
📂 Project page: sayands.github.io/crossover/
Joint work with Ondrej Miksik, @marcpollefeys.bsky.social, @danielbarath.bsky.social and @ir0armeni.bsky.social 🤝💡
Reposted by Daniel Barath
Protip: Add poselib refinement to opencv magsac, you can thank me later.
February 17, 2025 at 8:06 AM
Protip: Add poselib refinement to opencv magsac, you can thank me later.
Just wrapped up an incredible time at KEPAF conference with the Hungarian image processing, machine learning, and computer vision community — great talks, fresh ideas, and inspiring discussions. Excited to see you next time! #KEPAF #ComputerVision #MachineLearning
January 31, 2025 at 9:54 AM
Just wrapped up an incredible time at KEPAF conference with the Hungarian image processing, machine learning, and computer vision community — great talks, fresh ideas, and inspiring discussions. Excited to see you next time! #KEPAF #ComputerVision #MachineLearning