{"list":"other","total":60,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"2005.14165","title":"Language Models are Few-Shot Learners","created":"2020-05-28","cited_by_count":32419},{"id":"2303.08774","title":"GPT-4 Technical Report","created":"2023-03-15","cited_by_count":18396},{"id":"2203.02155","title":"Training language models to follow instructions with human feedback","created":"2022-03-04","cited_by_count":15971},{"id":"1801.03924","title":"The Unreasonable Effectiveness of Deep Features as a Perceptual Metric","created":"2018-01-11","cited_by_count":11177},{"id":"2005.11401","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","created":"2020-05-22","cited_by_count":9297},{"id":"2304.02643","title":"Segment Anything","created":"2023-04-05","cited_by_count":8234},{"id":"2305.18290","title":"Direct Preference Optimization: Your Language Model is Secretly a Reward Model","created":"2023-05-29","cited_by_count":8065},{"id":"2001.08361","title":"Scaling Laws for Neural Language Models","created":"2020-01-23","cited_by_count":6586},{"id":"2308.04079","title":"3D Gaussian Splatting for Real-Time Radiance Field Rendering","created":"2023-08-08","cited_by_count":6226},{"id":"2209.14988","title":"DreamFusion: Text-to-3D using 2D Diffusion","created":"2022-09-29","cited_by_count":3025},{"id":"1512.03012","title":"ShapeNet: An Information-Rich 3D Model Repository","created":"2015-12-09","cited_by_count":2897},{"id":"1311.2524","title":"Rich feature hierarchies for accurate object detection and semantic segmentation","created":"2013-11-11","cited_by_count":2162},{"id":"1812.03828","title":"Occupancy Networks: Learning 3D Reconstruction in Function Space","created":"2018-12-10","cited_by_count":2041},{"id":"2310.11511","title":"Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection","created":"2023-10-17","cited_by_count":1839},{"id":"2212.08051","title":"Objaverse: A Universe of Annotated 3D Objects","created":"2022-12-15","cited_by_count":1540},{"id":"2211.10440","title":"Magic3D: High-Resolution Text-to-3D Content Creation","created":"2022-11-18","cited_by_count":1290},{"id":"2404.02905","title":"Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction","created":"2024-04-03","cited_by_count":1023},{"id":"1612.00603","title":"A Point Set Generation Network for 3D Object Reconstruction from a Single Image","created":"2016-12-02","cited_by_count":979},{"id":"2412.01506","title":"Structured 3D Latents for Scalable and Versatile 3D Generation","created":"2024-12-02","cited_by_count":770},{"id":"2311.12775","title":"SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering","created":"2023-11-21","cited_by_count":616},{"id":"2208.00277","title":"MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures","created":"2022-07-30","cited_by_count":311},{"id":"2002.10880","title":"PolyGen: An Autoregressive Generative Model of 3D Meshes","created":"2020-02-23","cited_by_count":269},{"id":"1905.03678","title":"What Do Single-view 3D Reconstruction Networks Learn?","created":"2019-05-09","cited_by_count":260},{"id":"2311.15475","title":"MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers","created":"2023-11-27","cited_by_count":259},{"id":"1605.04797","title":"Thingi10K: A Dataset of 10,000 3D-Printing Models","created":"2016-05-16","cited_by_count":183},{"id":"2406.10163","title":"MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers","created":"2024-06-14","cited_by_count":144},{"id":"2404.12385","title":"MeshLRM: Large Reconstruction Model for High-Quality Meshes","created":"2024-04-18","cited_by_count":139},{"id":"2411.00776","title":"Randomized Autoregressive Visual Generation","created":"2024-11-01","cited_by_count":127},{"id":"2506.16504","title":"Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details","created":"2025-06-19","cited_by_count":125},{"id":"2101.07296","title":"Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias","created":"2021-01-18","cited_by_count":118},{"id":"2503.16429","title":"Sonata: Self-Supervised Learning of Reliable Point Representations","created":"2025-03-20","cited_by_count":110},{"id":"2408.02555","title":"MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization","created":"2024-08-05","cited_by_count":104},{"id":"2412.09548","title":"Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale","created":"2024-12-12","cited_by_count":89},{"id":"2409.18114","title":"EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation","created":"2024-09-26","cited_by_count":87},{"id":"2506.05573","title":"PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers","created":"2025-06-05","cited_by_count":84},{"id":"2411.07025","title":"Scaling Mesh Generation via Compressive Tokenization","created":"2024-11-11","cited_by_count":73},{"id":"2503.15265","title":"DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning","created":"2025-03-19","cited_by_count":65},{"id":"2504.07943","title":"HoloPart: Generative 3D Part Amodal Segmentation","created":"2025-04-10","cited_by_count":60},{"id":"2405.16888","title":"Part123: Part-aware 3D Reconstruction from a Single-view Image","created":"2024-05-27","cited_by_count":55},{"id":"2106.11272","title":"Neural Marching Cubes","created":"2021-06-21","cited_by_count":50},{"id":"2412.00518","title":"Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects","created":"2024-11-30","cited_by_count":44},{"id":"2509.06784","title":"P3-SAM: Native 3D Part Segmentation","created":"2025-09-08","cited_by_count":43},{"id":"2503.11629","title":"TreeMeshGPT: Artistic Mesh Generation with Autoregressive Tree Sequencing","created":"2025-03-14","cited_by_count":39},{"id":"2503.08311","title":"Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference","created":"2025-03-11","cited_by_count":33},{"id":"2402.01166","title":"A Comprehensive Survey on 3D Content Generation","created":"2024-02-02","cited_by_count":28},{"id":"2501.01880","title":"Long Context vs. RAG for LLMs: An Evaluation and Revisits","created":"2024-12-27","cited_by_count":26},{"id":"2305.17134","title":"NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support","created":"2023-05-26","cited_by_count":25},{"id":"2111.10332","title":"DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion","created":"2021-11-19","cited_by_count":17},{"id":"2209.15073","title":"A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing","created":"2022-09-29","cited_by_count":12},{"id":"2309.15191","title":"Deep Learning for Optimization of Trajectories for Quadrotors","created":"2023-09-26","cited_by_count":9},{"id":"2505.12731","title":"Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps","created":"2025-05-19","cited_by_count":6},{"id":"2504.20359","title":"PRISM-DP: Spatial Pose-based Observations for Diffusion-Policies via Segmentation, Mesh Generation, and Pose Tracking","created":"2025-04-29","cited_by_count":5},{"id":"2312.11841","title":"MixRT: Mixed Neural Representations For Real-Time NeRF Rendering","created":"2023-12-19","cited_by_count":3},{"id":"2506.06962","title":"AR-RAG: Autoregressive Retrieval Augmentation for Image Generation","created":"2025-06-08","cited_by_count":3},{"id":"2507.05695","title":"Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning","created":"2025-07-08","cited_by_count":3},{"id":"2209.11794","title":"Multi-Agent Exploration of an Unknown Sparse Landmark Complex via Deep Reinforcement Learning","created":"2022-09-23","cited_by_count":2},{"id":"2501.17636","title":"HOMER: Homography-Based Efficient Multi-view 3D Object Removal","created":"2025-01-29","cited_by_count":2},{"id":"2208.02939","title":"Drive Right: Shaping Public's Trust, Understanding, and Preference Towards Autonomous Vehicles Using a Virtual Reality Driving Simulator","created":"2022-08-05","cited_by_count":1},{"id":"2501.09597","title":"Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining","created":"2025-01-16","cited_by_count":1}],"next_cursor":null}