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[CVPR'26 Oral] Chorus: Multi-Teacher Pretraining for Holistic 3D Gaussian Scene Encoding

A feed-forward 3D foundation model for reconstructing scenes from streaming data

The agent that grows with you

EgoNight is the first comprehensive benchmark designed to evaluate egocentric vision understanding in low-light and nighttime conditions—a critical gap in current research.

Using Vive Tracker for estimating 6DOF

Reasoning in Space via Grounding in the World (ICLR 2025)

[AAAI'25] Official Code for “Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community"

Offical repo for ICCV25 Highlight Paper: "ObjectRelator: Enabling Cross-View Object Relation Understanding in Ego-Centric and Exo-Centric Perspectives"

verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework

[ICCV 2025] Official implementation of the paper "DreamCube: 3D Panorama Generation via Multi-plane Synchronization".

Solve Visual Understanding with Reinforced VLMs

[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer

OctGPT: Octree-based Multiscale Autoregressive Models for 3D Shape Generation [SIGGRAPH 2025]

[ICCV 2025 Oral] SceneSplat - Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining

[ECCV'2024] Gaussian Grouping for open-world Anything reconstruction, segmentation and editing.

[CVPR 2025 Highlight] 3DTopia-XL: High-Quality 3D PBR Asset Generation via Primitive Diffusion

Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences - CVPRW: StruCo3D, 2023

[ CVPR 2025 ] We introduce LT3SD, a novel latent 3D scene diffusion approach enabling high-fidelity generation of infinite 3D environments in a patch-by-patch and coarse-to-fine fashion.

PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437

[ICCV'25] GSOT3D: Towards Generic 3D Single Object Tracking in the Wild

CUDA accelerated rasterization of gaussian splatting

Gaussian Splatting Operators for SideFX Houdini

Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)

Received by RAL