HomeComputer VisionarXiv:2605.29891

DVSM: Decoder-only View Synthesis Model Done Right

Computer Vision2026-05v1license

Abstract

Recent Large View Synthesis Models (LVSMs) advocate an encoder-decoder architecture that separates reconstruction and rendering into distinct networks. We re-examine this design. Through controlled experiments, we show that a decoder-only architecture, which represents scenes implicitly as a KV-cache, outperforms encoder-decoder variants while using fewer parameters at identical rendering complexity. Further analysis shows that sharing weights between the color-input reconstruction network and the camera-only rendering network better aligns their features at the same viewpoint, facilitating image synthesis. Building on this finding, our model, dubbed DVSM, further incorporates foundation model priors and stage-wise patch sizing for an improved efficiency-quality tradeoff. Our results establish a new state of the art for novel-view synthesis across multiple benchmarks, in some cases even outperforming per-scene-optimized 3DGS under dense input views.

Comments: Code at https://github.com/NVLabs/dvsm

Cite

@article{arxiv.2605.29891,
  title  = {DVSM: Decoder-only View Synthesis Model Done Right},
  author = {Cheng Sun and Jaesung Choe and Min-Hung Chen and Ryo Hachiuma and Yu-Chiang Frank Wang},
  journal= {arXiv preprint arXiv:2605.29891},
  year   = {2026}
}