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RayZer: A Self-supervised Large View Synthesis Model

Official Honorable Mention3D & 4D reconstruction

Learns 3D scene reconstruction from images without known cameras or 3D supervision. Disentangled camera and scene representations use ray structure and view reconstruction to learn from 2D images.

Explanation level

Overview

Learns 3D scene reconstruction from images without known cameras or 3D supervision. Disentangled camera and scene representations use ray structure and view reconstruction to learn from 2D images.

When reading the original paper, identify its problem, inputs, outputs, and methodological assumptions.

References

  1. Bibliographic source

ID: iccv-2025-rayzer · Last verified:

Reading notes (.md, English) ↓