https://github.com/3DTopia/ThemeStation
공식 코드ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars
Papers with Code 아카이브
Unity
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/924973292/fusionreid
공식 코드https://github.com/DART2022/DART
공식 코드DART: Articulated Hand Model with Diverse Accessories and Rich Textures
https://github.com/DSobscure/cgi_drl_platform
공식 코드Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games
https://github.com/DeepGesture/DeepGesture-Unity
공식 코드DeepGesture: A conversational gesture synthesis system based on emotions and semantics
https://github.com/IntelligentMechanicsLab/NIM-Tutorial
공식 코드https://github.com/MIT-SPARK/Kimera
공식 코드3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans
https://github.com/RichardEvans/apperception
공식 코드https://github.com/Unity-Technologies/marathon-envs
공식 코드Marathon Environments: Multi-Agent Continuous Control Benchmarks in a Modern Video Game Engine
https://github.com/Unity-Technologies/ml-agents
공식 코드https://github.com/VU-RASL/GSAC
공식 코드GSAC: Leveraging Gaussian Splatting for Photorealistic Avatar Creation with Unity Integration
https://github.com/VideojogosLusofona/snappable-meshes-pcg
공식 코드https://github.com/Whalefishin/LLM_animation
공식 코드Real-time Animation Generation and Control on Rigged Models via Large Language Models
https://github.com/YuhangSong/Arena-Baselines
공식 코드Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
https://github.com/YuhangSong/Arena-BuildingToolkit
공식 코드Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
https://github.com/agostini335/mmvmvae-mimic
공식 코드Unity by Diversity: Improved Representation Learning in Multimodal VAEs
https://github.com/alhqlearn/reactaivate
공식 코드https://github.com/anitarau/simcol
공식 코드https://github.com/bimib-disco/enad-experiments
공식 코드Unity is strength: Improving the Detection of Adversarial Examples with Ensemble Approaches
https://github.com/blrsai/release_tp_competition_code
공식 코드Pac-Man Pete: An extensible framework for building AI in VEX Robotics
https://github.com/blrsai/vexai-sim
공식 코드Pac-Man Pete: An extensible framework for building AI in VEX Robotics
https://github.com/boevkoski/xaicl_parliaments
공식 코드XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian Parliament
https://github.com/borbysh/coolmomentum
공식 코드CoolMomentum: A Method for Stochastic Optimization by Langevin Dynamics with Simulated Annealing
https://github.com/boreshkinai/protores
공식 코드ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
https://github.com/bradleywang0416/gcnext
공식 코드GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
https://github.com/cair/TsetlinMachine
공식 코드https://github.com/cair/fast-tsetlin-machine-with-mnist-demo
공식 코드https://github.com/chenchao15/lpi
공식 코드Latent Partition Implicit with Surface Codes for 3D Representation
https://github.com/cschell/who-is-alyx
공식 코드Versatile User Identification in Extended Reality using Pretrained Similarity-Learning
https://github.com/danielcsaba/alpha_RI
공식 코드https://github.com/deaglanbartlett/esr
공식 코드https://github.com/deepmind/dm_alchemy
공식 코드Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents
https://github.com/diBernardoGroup/MPC-to-mitigate-COVID-19
공식 코드https://github.com/dobriban/dist_ridge
공식 코드WONDER: Weighted one-shot distributed ridge regression in high dimensions
https://github.com/dominicrichards/comparinggradientdescentridge
공식 코드Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models?
https://github.com/dvij542/offtersim
공식 코드WROOM: An Autonomous Driving Approach for Off-Road Navigation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.