Generalizable Novel View Synthesis

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

7 datasets 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

14 shown of 14 papers with code (30 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.

• NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
  19 Mar 2020 37 repositories listed Syntology ran 22 of 56 samples · 34 unverified · 4 pointer-only (licence)
  Our algorithm represents a scene using a fully-connected (non-convolutional) deep network, whose input is a single continuous 5D coordinate (spatial location (x, y, z) and viewing direction (θ, ϕ)) and whose output is…
• NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
  24 Aug 2023 2 repositories listed
  NeO 360's representation allows us to learn from a large collection of unbounded 3D scenes while offering generalizability to new views and novel scenes from as few as a single image during inference.
• pixelNeRF: Neural Radiance Fields from One or Few Images
  3 Dec 2020 2 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 5 pointer-only (licence)
  This allows the network to be trained across multiple scenes to learn a scene prior, enabling it to perform novel view synthesis in a feed-forward manner from a sparse set of views (as few as one).
• Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction
  26 May 2025 1 repository listed
  By grouping adjacent rays into a bundle and sampling them collectively, a shared representation is generated for decoding all rays within the bundle.
• No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images
  31 Oct 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  We utilize the reconstructed 3D Gaussians for novel view synthesis and pose estimation tasks and propose a two-stage coarse-to-fine pipeline for accurate pose estimation.
• MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
  21 Mar 2024 1 repository listed
  We introduce MVSplat, an efficient model that, given sparse multi-view images as input, predicts clean feed-forward 3D Gaussians.
• pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction
  19 Dec 2023 1 repository listed Syntology ran 1 of 6 samples · 5 unverified
  We introduce pixelSplat, a feed-forward model that learns to reconstruct 3D radiance fields parameterized by 3D Gaussian primitives from pairs of images.
• GauHuman: Articulated Gaussian Splatting from Monocular Human Videos
  5 Dec 2023 1 repository listed Syntology ran 9 of 10 samples · 1 unverified · 10 pointer-only (licence)
  We present, GauHuman, a 3D human model with Gaussian Splatting for both fast training (1 ~ 2 minutes) and real-time rendering (up to 189 FPS), compared with existing NeRF-based implicit representation modelling…
• Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields
  20 Nov 2023 1 repository listed Syntology ran 10 of 12 samples · 2 unverified
  Different from existing methods that consider cross-view and along-epipolar information independently, EVE-NeRF conducts the view-epipolar feature aggregation in an entangled manner by injecting the scene-invariant…
• Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs
  26 Mar 2023 1 repository listed
  This paper aims to develop an accurate 3D geometry representation of satellite images using satellite-ground image pairs.
• Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention
  23 Mar 2023 1 repository listed Syntology ran 4 of 4 samples · 0 unverified
  In this paper, we aim to learn a semantic radiance field from multiple scenes that is accurate, efficient and generalizable.
• Is Attention All That NeRF Needs?
  27 Jul 2022 1 repository listed Syntology ran 5 of 7 samples · 2 unverified
  While prior works on NeRFs optimize a scene representation by inverting a handcrafted rendering equation, GNT achieves neural representation and rendering that generalizes across scenes using transformers at two stages.
• KeypointNeRF: Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints
  10 May 2022 1 repository listed
  In this work, we investigate common issues with existing spatial encodings and propose a simple yet highly effective approach to modeling high-fidelity volumetric humans from sparse views.
• Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
  15 Sep 2021 1 repository listed
  To tackle this, we propose Neural Human Performer, a novel approach that learns generalizable neural radiance fields based on a parametric human body model for robust performance capture.

Syntology lines on 8 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.