Popular GitHub Repositories for Bench360

? WorldGen - Generate Any 3D World in Second

[CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image

[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang

SE-Agent is a self-evolution framework that enables information exchange between reasoning paths through a trajectory-level evolution mechanism, breaking the cognitive limitations of single trajectories.

Code accompanying the paper "Spherical View Synthesis for Self-Supervised 360 Depth Estimation", 3DV 2019

[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects

Code and models for "Pano3D: A Holistic Benchmark and a Solid Baseline for 360 Depth Estimation", OmniCV Workshop @ CVPR21.

[CVPR 2024] ?Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning

BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation

CodeUltraFeedback: aligning large language models to coding preferences

Deep Lighting Environment Map Estimation from Spherical Panoramas (CVPRW20)

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

OSINT360 ⌁ Cyber Intelligence – GPT-5 powered assistant for OSINT, DFIR, ethical hacking, red teaming, privacy & compliance. ?

Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs.

An interactive web demo for the Nano BANANA Hackathon showcasing consistent 360° AI character generation, powered by Gemini 1.5 Flash. ??

[NeurIPS2023] PanoGRF: Generalizable Spherical Radiance Fields for Wide-baseline Panoramas(or 360-degree image)

Code and models for "PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes" presented at the OmniCV workshop of CVPR21.

[AAAI '23] PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor

[NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen and Lu Yuan

"Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, and Zhangyang Wang