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IBRNet: Learning Multi-View Image-Based Rendering

CVPR 2021 · 3D vision › NeRF and radiance fields · approach: Inverse rendering with neural fields · 722 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use IBRNet instead of LLFF without per-scene tuningNovel-view synthesis · Diffuse Synthetic 360°; Realistic Synthetic 360°; Real Forward-FacingPSNR, SSIM, and LPIPS: PSNR: 34.38 -> 37.17; 24.88 -> 25.49; 24.13 -> 25.13Helped
Fine-tune the pretrained model per scene instead of using NeRFIBRNet · Diffuse Synthetic 360°; Realistic Synthetic 360°; Real Forward-FacingPSNR, SSIM, and LPIPS: PSNR: 40.15 -> 42.93; 31.01 -> 28.14; 26.50 -> 26.73Mixed
Add the ray transformer for cross-sample density reasoning (ablation)IBRNet · Real Forward-FacingPSNR: 21.31 -> 25.13Helped
Add view-direction inputs and weighted pooling (ablation)IBRNet · Real Forward-FacingPSNR: 24.20 -> 25.13Helped
Blend source image colors rather than regress RGB directly (ablation)IBRNet · Real Forward-FacingPSNR: 24.73 -> 25.13Helped

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