Papers › CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis
CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis
Peng Zhou, Lingxi Xie, Bingbing Ni, Qi Tian
The style-based GAN (StyleGAN) architecture achieved state-of-the-art results for generating high-quality images, but it lacks explicit and precise control over camera poses. The recently proposed NeRF-based GANs made great progress towards 3D-aware generators, but they are unable to generate high-quality images yet. This paper presents CIPS-3D, a style-based, 3D-aware generator that is composed of a shallow NeRF network and a deep implicit neural representation (INR) network. The generator synthesizes each pixel value independently without any spatial convolution or upsampling operation. In addition, we diagnose the problem of mirror symmetry that implies a suboptimal solution and solve it by introducing an auxiliary discriminator. Trained on raw, single-view images, CIPS-3D sets new records for 3D-aware image synthesis with an impressive FID of 6.97 for images at the 256×256 resolution on FFHQ. We also demonstrate several interesting directions for CIPS-3D such as transfer learning and 3D-aware face stylization. The synthesis results are best viewed as videos, so we recommend the readers to check our github project at https://github.com/PeterouZh/CIPS-3D
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Code
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Code Syntology ran Syntology
10 samples harvested; 6 ran; 0 honoured the contract we drafted; 4 have no recorded run. Read from Syntology's graph 2026-09-25; that is when this build read the record, not when the samples ran.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| 3D-Aware Image Synthesis | FFHQ 256 x 256 | CIPS-3D | FID | 6.97 | #1 of 4 | Archive leaderboard | report |
| 3D-Aware Image Synthesis | FFHQ 256 x 256 | CIPS-3D | KID | 2.87 | #1 of 4 | Archive leaderboard | report |
| 3D-Aware Image Synthesis | FFHQ 256 x 256 | StyleNeRF | FID | 8.00 | #2 of 4 | Archive leaderboard | report |
| 3D-Aware Image Synthesis | FFHQ 256 x 256 | StyleNeRF | KID | 3.70 | #2 of 4 | Archive leaderboard | report |
| 3D-Aware Image Synthesis | FFHQ 256 x 256 | pi-GAN | FID | 34.56 | #3 of 4 | Archive leaderboard | report |
| 3D-Aware Image Synthesis | FFHQ 256 x 256 | pi-GAN | KID | 26.58 | #3 of 4 | Archive leaderboard | report |
| 3D-Aware Image Synthesis | FFHQ 256 x 256 | GIRAFFE | FID | 63.33 | #4 of 4 | Archive leaderboard | report |
| 3D-Aware Image Synthesis | FFHQ 256 x 256 | GIRAFFE | KID | 50.94 | #4 of 4 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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