Paper

SolarRenderer: Few-Step Generative Reference Rendering

Uses native reference tokens as aligned structural controls, then adds a separate 4-step LoRA so one frozen backbone renders many structure types fast.

arXiv ↗Oct 20, 2026Code ↗

  • cv
  • video generation
  • controllable generation
  • distillation
Shows semantic segmentation annotation paired with raw night street scene
Shows semantic segmentation annotation paired with raw night street scene

What it is

A structure-conditioned video renderer that turns many kinds of scene proxies into realistic video in 4 steps using a frozen video backbone plus two LoRAs. Instead of training a renderer per engine or condition type, it feeds arbitrary structural videos through the backbone's native reference path with frame-aligned positions and plain-text descriptions, then post-trains a 4-step acceleration LoRA with structure-guided distribution matching.

Key results

  • 4-step rendering is 12.3x faster than 50-step sampling
  • SOTA on both in-distribution and 16-type generalization benchmarks
  • Generalizes to 11 unseen structure types, including skeletons and point clouds

A single reference-pathway control interface can generalize across heterogeneous and even unseen structural video representations.

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