Click3R corrects stereo 3D reconstruction with sparse clicks
A lightweight adapter uses user point correspondences, and the authors say one click can cut reconstruction error.
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A lightweight adapter uses user point correspondences, and the authors say one click can cut reconstruction error.
Solv3R uses a looped transformer for iterative refinement in multi-view reconstruction without task-specific modules.
AnchorComplete reconstructs complete scene meshes from partial point clouds using partial-point conditioning and metric-scale coarse-to-fine generation.
Across 34 scenes, Hexels beat memory-matched 2DGS by 4.53-7.38 dB PSNR with lower training VRAM.
On HardMatch, where VGGT fails on 35% of 1,000 pairs, a frozen-feature probe reaches 93.5% ROC-AUC.
An RPF aligner matches object-local meshes to partial scene pointmaps without full scene supervision.
A chunk-level Sim(3) graph sets global scale, then one shared SE(3) camera is estimated per frame, with no extra training.
An agent edits and validates scenes in a physics simulator so reconstructed objects stay physically stable.
EgoX cuts camera, hand, and depth errors by 68.9%, 65.6%, and 42.9% versus the strongest baselines.
Seed Injection and Temporal Biased Relocation keep a fixed Gaussian budget while recovering small, fast-moving objects.
Drive3R streams block-wise 3D reconstruction for driving and sets new nuScenes, KITTI, and Waymo results.
NVIDIA researchers introduced GATOR, which reconstructs textured, scene-aligned 3D objects from one or more casual images.
JoHan recovers smoother 2D and 3D hand motion directly from video without per-frame pose estimates.
MetaLF frames latent optimization as an encoder for second-order meta-learning of conditional neural fields.

LEGO-Anything has coding agents write Blender scenes from one photo, but they cannot reliably judge geometric accuracy.
T3lescope reconstructs high-fidelity 3D meshes from multi-view images at arbitrary scale without per-scene optimization.
LEGO-Anything uses coding agents to rebuild editable 3D scenes as executable Blender programs.
Researchers show point-cloud autoencoder backdoors leak source geometry and propose Gaussian constraints to control them.
SpatialSpeak pretrains vision-language models on multi-view reconstruction, reaching a 62.8 ReVSI spatial-reasoning score.
OC-GS refines per-image angles in a shared orbit model to reconstruct objects from sparse, irregular turntable views.
HARMONY reconstructs indoor 3D scenes from one image using hierarchical agentic reasoning and geometry refinement.
NeuSOGA3D combines learned perception with symbolic spline reasoning to produce explainable, CAD-compatible 3D reconstructions from point clouds across all forty ModelNet40 categories.

MarkTechPost tutorial implements a hierarchical NeRF in JAX using jax3d volume-rendering primitives for novel-view synthesis and 3D reconstruction.
RCWM reconstructs complex 3D worlds as executable code from a single image using recursive scene programs with global-local-global solver recursion.
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