·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Meta AI director Rohit Patel leaves to take on Microsoft Office and Google Workspace45m◆Apple is adding an AI chatbot to Pages, Keynote, and Numbers1h◆Japan internet giant GMO says hackers posted stolen customer data2h◆Opera introduces a new web standard to let users deploy AI locally in their browser2h◆General Compute raises $100 million Series A, countering the neocloud disaster narrative2h◆Industrial Intelligence: The next growth opportunity for manufacturing4h◆Nvidia backs Indian startup helping companies run AI models with fewer GPUs4h◆Data center backlash is uniting America5h◆When Generated Information Returns: Error Persistence in LLM-Mediated Information Ecosystems11h◆Query-Driven Learning for Lifted Reasoning11h◆The Social World Model Evaluation Gap11h◆Conviction Without Evidence: Verdict Stability Is Independent of Visual Grounding in Medical Vision--Language Models11h◆The Value of Memory in Language Agents11h◆Synthetic linguistic data11h◆MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation11h◆NewsBench: Expert-Grounded Evaluation of Epistemic Quality in AI News Reporting11h◆RobotAgentBench: Towards Open-world Robot Autonomy11h◆Folding Pooled Usage Examples into the Tool Index Lowers Retrieval of Unused Tools11h◆Compatible Likelihoods for Flow Matching on Manifolds11h◆Foundations of the Scaling Law11h◆Meta AI director Rohit Patel leaves to take on Microsoft Office and Google Workspace45m◆Apple is adding an AI chatbot to Pages, Keynote, and Numbers1h◆Japan internet giant GMO says hackers posted stolen customer data2h◆Opera introduces a new web standard to let users deploy AI locally in their browser2h◆General Compute raises $100 million Series A, countering the neocloud disaster narrative2h◆Industrial Intelligence: The next growth opportunity for manufacturing4h◆Nvidia backs Indian startup helping companies run AI models with fewer GPUs4h◆Data center backlash is uniting America5h◆When Generated Information Returns: Error Persistence in LLM-Mediated Information Ecosystems11h◆Query-Driven Learning for Lifted Reasoning11h◆The Social World Model Evaluation Gap11h◆Conviction Without Evidence: Verdict Stability Is Independent of Visual Grounding in Medical Vision--Language Models11h◆The Value of Memory in Language Agents11h◆Synthetic linguistic data11h◆MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation11h◆NewsBench: Expert-Grounded Evaluation of Epistemic Quality in AI News Reporting11h◆RobotAgentBench: Towards Open-world Robot Autonomy11h◆Folding Pooled Usage Examples into the Tool Index Lowers Retrieval of Unused Tools11h◆Compatible Likelihoods for Flow Matching on Manifolds11h◆Foundations of the Scaling Law11h◆
News/RayDer: Scalable Self-Supervised Novel View Synthesis from Real-World Video
arxiv
PublishedJune 1, 2026 at 4:00 AM
▲bullish

RayDer: Scalable Self-Supervised Novel View Synthesis from Real-World Video

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2605.31535v1 Announce Type: cross Abstract: Self-supervised novel view synthesis (NVS) remains challenging to scale, despite the abundance of video data, largely due to the brittleness of training on realistic videos and the hard-to-predict scaling behavior of multi-network system designs. We

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Mentioned models
01
  • 01
    RayDer
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#computer-vision#self-supervised#transformer#novel-view-synthesis

No replies yet. Be first.

Mentioned models
01
  • 01
    RayDer
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#computer-vision#self-supervised#transformer#novel-view-synthesis

Related coverage

More from ARXIV
arxivWhen Generated Information Returns: Error Persistence in LLM-Mediated Information Ecosystems11harxivQuery-Driven Learning for Lifted Reasoning11harxivThe Social World Model Evaluation Gap11harxivConviction Without Evidence: Verdict Stability Is Independent of Visual Grounding in Medical Vision--Language Models11h
The Bubble Brief
MON · WED · FRI

Read computer-vision insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews