# Reflow Distillation

Tacit-TTS, distilled from IndexTTS2, replaces autoregressive text-to-semantic decoding with masked non-autoregressive generation, adds training-free acoustic length estimation, and accelerates the flow-matching renderer via ReFlow distillation, achieving competitive zero-shot cloning quality on two English and two Mandarin datasets while generating speech over 10x faster than IndexTTS2 for utterances longer than 5 seconds and supporting cross-lingual and non-lexical references without a reference transcript.

Tacit-TTS, distilled from IndexTTS2, replaces autoregressive text-to-semantic decoding with masked non-autoregressive generation, adds training-free acoustic length estimation, and accelerates the flow-matching renderer via ReFlow distillation, achieving competitive zero-shot cloning quality on two English and two Mandarin datasets while generating speech over 10x faster than IndexTTS2 for utterances longer than 5 seconds and supporting cross-lingual and non-lexical references without a reference transcript.

GeoVerse performs diffusion generation inside the geometric latent space of a pretrained 3D foundation model (DA3), injects frozen Wan2.2 VACE video features into the denoiser through a ControlNet-style adapter, and uses a continuously updated colored point-cloud spatial memory to reproject history as target-aligned guidance, synthesizing cross-view consistent novel views from sparse inputs; across DL3DV, RealEstate10K, Mip-NeRF 360, and ScanNetV2 it reports better visual quality and geometric consistency, with PSNR 2.23 dB higher than GLD on DL3DV and ATE 32.4% lower than GLD on Mip-NeRF 360, while reflow distillation brings inference from over 100 seconds to under 10 seconds.

GeoVerse performs diffusion generation inside the geometric latent space of a pretrained 3D foundation model (DA3), injects frozen Wan2.2 VACE video features into the denoiser through a ControlNet-style adapter, and uses a continuously updated colored point-cloud spatial memory to reproject history as target-aligned guidance, synthesizing cross-view consistent novel views from sparse inputs; across DL3DV, RealEstate10K, Mip-NeRF 360, and ScanNetV2 it reports better visual quality and geometric consistency, with PSNR 2.23 dB higher than GLD on DL3DV and ATE 32.4% lower than GLD on Mip-NeRF 360, while reflow distillation brings inference from over 100 seconds to under 10 seconds.