SVBRDF Estimation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

3 shown of 3 papers with code (11 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• SurfaceNet: Adversarial SVBRDF Estimation from a Single Image
  23 Jul 2021 2 repositories listed Syntology ran 6 of 9 samples · 3 unverified · 5 pointer-only (licence)
  In this paper we present SurfaceNet, an approach for estimating spatially-varying bidirectional reflectance distribution function (SVBRDF) material properties from a single image.
• MatFuse: Controllable Material Generation with Diffusion Models
  22 Aug 2023 1 repository listed Syntology ran 9 of 12 samples · 3 unverified
  Creating high-quality materials in computer graphics is a challenging and time-consuming task, which requires great expertise.
• Multi-view Gradient Consistency for SVBRDF Estimation of Complex Scenes under Natural Illumination
  25 Feb 2022 1 repository listed
  In contrast to previous methods, our process is not limited to scenes viewed under controlled lighting conditions but can handle complex indoor and outdoor scenes viewed under arbitrary illumination conditions.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.