CATRF: Codec-Adaptive TriPlane Radiance Fields for Volumetric Content Delivery
Volumetric media promises next-generation content delivery applications, but its bandwidth demand remains a key bottleneck. Implicit and hybrid volumetric representations reduce model sizes, yet still require careful coding to reach 2D video-like bitrates. We present CATRF, a standard-codec-in-the-loop compression framework for plane-factorized radiance fields. During training, we quantize and pack 2D feature planes into codec-friendly canvases, run a standard codec roundtrip (JPEG/VP9/HEVC/AV1), then unpack and dequantize the decoded features before volume rendering. We use a straight-through estimator (STE) to insert the non-differentiable, standard codec pipeline into the training loop...
| Authors | Tung-I Chen, Lingdong Wang, Subhransu Maji et al. |
|---|---|
| Primary category | eess.IV |
| Published | 18 May 2026 |
| Last updated at source | 18 May 2026 |
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