Papers › HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling

HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling

5 Jan 2023CVPR 2023 1arXiv:2301.02238archive 2025-07-28

Benjamin Attal, Jia-Bin Huang, Christian Richardt, Michael Zollhoefer, Johannes Kopf, Matthew O'Toole, Changil Kim

Volumetric scene representations enable photorealistic view synthesis for static scenes and form the basis of several existing 6-DoF video techniques. However, the volume rendering procedures that drive these representations necessitate careful trade-offs in terms of quality, rendering speed, and memory efficiency. In particular, existing methods fail to simultaneously achieve real-time performance, small memory footprint, and high-quality rendering for challenging real-world scenes. To address these issues, we present HyperReel -- a novel 6-DoF video representation. The two core components of HyperReel are: (1) a ray-conditioned sample prediction network that enables high-fidelity, high frame rate rendering at high resolutions and (2) a compact and memory-efficient dynamic volume representation. Our 6-DoF video pipeline achieves the best performance compared to prior and contemporary approaches in terms of visual quality with small memory requirements, while also rendering at up to 18 frames-per-second at megapixel resolution without any custom CUDA code.

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MLPRender_Fea facebookresearch/hyperreel/nlf/nets/tensorf_hybrid.py official repository ran MIT (permissive) · 923fd02aa68fcefc · report
RGBIdentityRender facebookresearch/hyperreel/nlf/nets/tensorf_hybrid.py official repository ran · our draft was wrong MIT (permissive) · 829dc9018d0c1eb6 · report
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TensorVMKeyframeHybrid facebookresearch/hyperreel/nlf/nets/tensorf_hybrid.py official repository unverified MIT (permissive) · 63af2794dc36d8c6 · report

Tasks

Novel View SynthesisVocal Bursts Intensity Prediction

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Novel View Synthesis DONeRF: Evaluation Dataset HyperReel PSNR 35.1 #1 of 6 Archive leaderboard report
Novel View Synthesis DONeRF: Evaluation Dataset Instant NGP PSNR 33.1 #2 of 6 Archive leaderboard report
Novel View Synthesis DONeRF: Evaluation Dataset NeRF PSNR 30.9 #3 of 6 Archive leaderboard report
Novel View Synthesis DONeRF: Evaluation Dataset AdaNeRF PSNR 30.9 #4 of 6 Archive leaderboard report
Novel View Synthesis DONeRF: Evaluation Dataset DoNeRF PSNR 30.8 #5 of 6 Archive leaderboard report
Novel View Synthesis DONeRF: Evaluation Dataset TermiNeRF PSNR 29.8 #6 of 6 Archive leaderboard report
Novel View Synthesis LLFF HyperReel PSNR 26.2 #9 of 15 Archive leaderboard report
Novel View Synthesis LLFF AdaNeRF PSNR 25.7 #11 of 15 Archive leaderboard report
Novel View Synthesis LLFF Instant NGP PSNR 25.6 #13 of 15 Archive leaderboard report
Novel View Synthesis LLFF TermiNeRF PSNR 23.6 #14 of 15 Archive leaderboard report
Novel View Synthesis LLFF DoNeRF PSNR 22.9 #15 of 15 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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