FixAnything: Refining 3D Renders into Photorealistic Videos via Video Generative Priors
orlitany · x · 2026-08-27
CMU researchers present FixAnything, a generalist video model that repairs rendering artifacts from any 3D representation—3DGS, NeRF, meshes, or sparse point clouds—into photorealistic, 3D-consistent videos. By repurposing a pretrained video diffusion model (Wan2.1) and using Flow-DPO with camera pose accuracy as a reward, the model achieves geometric consistency. Even very sparse point clouds serve as effective camera control with minimal LoRA finetuning.
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