Trending Research
NdLinear Is All You Need for Representation Learning
We propose NdLinear as a drop-in replacement for standard linear layers -- marking an important step toward next-generation neural architectures.
Less-to-More Generalization: Unlocking More Controllability by In-Context Generation
bytedance/uno
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In this study, we propose a highly-consistent data synthesis pipeline to tackle this challenge.
Conditional Image Generation
Personalized Image Generation
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LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion
Imitation Learning (IL) holds great promise for enabling agile locomotion in embodied agents.
IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
Recently, large language model (LLM) based text-to-speech (TTS) systems have gradually become the mainstream in the industry due to their high naturalness and powerful zero-shot voice cloning capabilities. Here, we introduce the IndexTTS system, which is mainly based on the XTTS and Tortoise model.
Affordable AI Assistants with Knowledge Graph of Thoughts
Such structured representation of task-relevant knowledge enables low-cost models to solve complex tasks effectively.
MonSter: Marry Monodepth to Stereo Unleashes Power
junda24/monster
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The refined monodepth is in turn guides stereo effectively at ill-posed regions.
VSLAM-LAB: A Comprehensive Framework for Visual SLAM Methods and Datasets
Visual Simultaneous Localization and Mapping (VSLAM) research faces significant challenges due to fragmented toolchains, complex system configurations, and inconsistent evaluation methodologies.
OctGPT: Octree-based Multiscale Autoregressive Models for 3D Shape Generation
octree-nn/octgpt
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In this paper, we introduce OctGPT, a novel multiscale autoregressive model for 3D shape generation that dramatically improves the efficiency and performance of prior 3D autoregressive approaches, while rivaling or surpassing state-of-the-art diffusion models.
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
The capacity for complex mathematical reasoning is a key benchmark for artificial intelligence.
A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce
In this work, we revisit GRPO from a reinforce-like algorithm perspective and analyze its core components.
