Hexels use hexagonal primitives for more efficient 3D scene rendering
Across 34 scenes, Hexels beat memory-matched 2DGS by 4.53-7.38 dB PSNR with lower training VRAM.
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Across 34 scenes, Hexels beat memory-matched 2DGS by 4.53-7.38 dB PSNR with lower training VRAM.
Plane parameters need no ground-truth geometry and can be learned from view synthesis alone or taken from foundation models.
View-wise and 3D grouping plus rendering-error feedback keep Gaussian counts at or below prior methods.
Projected source-view trajectories condition a pretrained video model so unseen regions are filled without retraining the generator.
InfiniSplat v2 improves feed-forward 3D Gaussian rendering quality across large viewpoint changes.
LEGO turns one exocentric video into an egocentric view with a lifting-free synthesizer and diffusion model.
NAMVIS generates consistent multi-view images with geometry-conditioned autoregression, beating diffusion baselines and running over 3x faster.
SNAP, a self-supervised pose-conditioned transformer for novel view synthesis, learns transferable geometric representations competitive with geometry-supervised methods across five tasks.
DyRAD renders dynamic radar range-azimuth-Doppler views, recovering 90.7% of RADIal detections versus 26.9%.
GeoVerse synthesizes world-consistent novel views inside a geometric latent space using video appearance priors.
VGGT-Diff routes VGGT-Ω geometry latents into a video diffusion model for sparse-view novel view synthesis.
ClearGS improves 3D Gaussian Splatting from handheld video using reliability weights and in-video restoration.
DeformView and DEFECt3R localize geometric inconsistencies in wide-baseline multi-view images for forensics.

MarkTechPost tutorial implements a hierarchical NeRF in JAX using jax3d volume-rendering primitives for novel-view synthesis and 3D reconstruction.
Researchers propose 3DPS, a differentiable point renderer for mmWave radar novel view synthesis that outperforms optical-NVS baselines by 1.7x-5.2x.
Ref-GeNVS is a training-free method for reflection-consistent generative novel view synthesis that treats mirror images as two complementary views.
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