arXiv Computer Vision
PowerSim: Differentiable Physics Simulation and Rendering with Power Diagrams
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arXiv Computer Vision
Sep 1
LightFuse: Relightable Interactive Gaussian Scene Reconstruction via Multi-Scan Fusion and 2D Gaussian Ray Tracing
arXiv:2608.29269v1 Announce Type: new Abstract: Relightable interactive scene reconstruction aims to build an editable 3D model from scans of different object arrangements and render new layouts unde...
Hugging Face Trending Papers
Aug 6
Floating Radiance Networks
Recent advances in neural scene representations enable photorealistic novel-view synthesis, yet most methods remain tightly coupled to a single rendering paradigm, limiting their versatility and integration with conventional graphics workflows. We introduce Floating Radiance Networks (FlaRe), a neural scene representation combining explicit ray-traceable geometry with continuous neural radiance functions.
arXiv Computer Vision
Sep 4
WireSeg-32K: A Physics-Grounded Synthetic Dataset for Wire Instance Segmentation
WireSeg-32K is a new synthetic dataset designed for wire instance segmentation, comprising 32,000 RGB images, instance masks, depth maps, and a complementary real-world test set with annotations. The dataset is generated using DeformX, a co-simulation pipeline that couples Cosserat-rod dynamics with photorealistic Isaac Sim rendering to produce physically plausible, contact-consistent wire shapes and diverse scenes. Fine-tuning SAM3 with LoRA on WireSeg-32K improves real-world mAP@75 by 10.2% compared to the off-the-shelf model, demonstrating the transferability of physically grounded synthetic data.
arXiv AI
Jun 30
DR-GS: Physically-Based Deformable and Relightable 2D Gaussians
arXiv:2606. 29379v1 Announce Type: cross Abstract: Gaussian splatting (GS) has garnered significant attention in VR/AR and digital content creation due to its explicit parameterization and efficient rendering capabilities.
arXiv Computer Vision
Aug 26
NeoWorld-Pro: Programming Interactive Scenes from Monocular Images for Embodied Simulation
arXiv:2608.24212v1 Announce Type: new Abstract: The advancement of Embodied AI necessitates high-quality simulation assets that faithfully mirror the real world. However, transforming raw visual obse...
arXiv Computer Vision
Sep 7
WorldSculpt: Generating Compositional Worlds from Grounded Videos
WorldSculpt presents a method for generating compositional 3D representations of cluttered scenes with hundreds of objects by adapting a single-object 3D generative prior to multi-view observations. The approach, built on Pixal3D with a multi-view conditioning pathway, can generalize to highly occluded scenes without scene-level training. The authors also introduce the UE-MeshyScene benchmark and demonstrate that their method outperforms prior approaches across various evaluation settings, including converting existing 3DGS worlds into compositional mesh scenes.