Papers

Filtered to 3D understanding · clear filter

Browse by term

continual learning 86reinforcement learning 48benchmarking 13large language models 12benchmarks 11vision-language models 10language models 9robotics 7world models 7natural language processing 6recursive self-improvement 6generative models 5on-policy distillation 5video generation 5attention mechanisms 4coding agents 4LLMs 4multi-agent systems 4multimodal learning 4multimodal models 4self-distillation 4self-supervised learning 4transformers 4vision-language-action models 4world modeling 4agent-based systems 3agentic models 3agentic search 3agents 3autonomous systems 3

Matching papers

Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editing

70 upvotes · 3 AUG 2026 · Junliang Ye, Kenkun Liu, Guocun Wang et al.

This paper introduces Hunyuan3D-Buffalo 1.0, a unified model for 3D generation, understanding, and editing, and demonstrates its state-of-the-art performance on various benchmarks. Practitioners may care about this work because it provides a scalable framework for 3D modeling and editing tasks.