PaperFlume Accounts · soon

0:00

Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation

Junlin Han, Jianyuan Wang, Andrea Vedaldi, Philip Torr, Filippos Kokkinos

ICML 2025 4:57 9 chapters CC BY 4.0 · adaptation, not endorsed by the authors Source checked · visual review incomplete

Download the deck .pptx Transcript .txt · cited Captions .vtt

Editable text and shapes, not pictures of slides.

Feedback

Was this worth your five minutes?

We are in beta. Tell us whether it helped — and if something is wrong, tell us that too.

Not rated

Anything else? (optional)

Goes to a person, not a form queue.

Next

Papers near this one.

Walkthroughs

Foundation4D: Towards a unified perception and reconstruction model for autonomous vehicles

shares Gaussian splatting

Geometric Algebra Planes: Convex Implicit Neural Volumes

shares Neural rendering

HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder

shares Gaussian splatting

Short cuts

Foundation4D: Towards a unified perception and reconstruction model for autonomous vehicles

shares Gaussian splatting

Geometric Algebra Planes: Convex Implicit Neural Volumes

shares Neural rendering

HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder

shares Gaussian splatting

Authors

Want one of these for your paper?

Send the PDF and we make the walkthrough, the deck and the reel. It stays private unless you publish it yourself.

Add your paper How it works

01

Something people finishFive minutes of method beats a PDF nobody opens past the abstract.

02

Slides for your next talkAn editable deck built from your own figures, with the narration in the notes.

03

A cut you can postFifty seconds, vertical, for the places a paper link gets ignored.

04

A page that can be foundA cited transcript sits on the page, so the words in your method are searchable.

Based on “Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation” by Junlin Han, Jianyuan Wang, Andrea Vedaldi, Philip Torr, Filippos Kokkinos · ICML 2025 · CC BY 4.0 · licence checked 2026-10-24 · Changed from the original: rewritten as a narrated walkthrough with slides, using the paper's own figures. An adaptation, not endorsed by its authors.

Request takedown — we aim to answer within 72 hours.