Papers

Filtered to subject-driven video generation · clear filter

Browse by term

continual learning 82reinforcement learning 50large language models 12benchmarking 11benchmarks 11language models 11vision-language models 10robotics 7natural language processing 6world models 6generative models 5recursive self-improvement 5attention mechanisms 4diffusion Transformers 4multi-agent systems 4multimodal learning 4multimodal models 4on-policy distillation 4self-distillation 4self-supervised learning 4transformers 4video generation 4vision-language-action models 4agent-based systems 3agentic models 3agentic search 3autonomous systems 3coding agents 3diffusion models 3image generation 3

Matching papers

HOMIE: Human-object Centric Video Personalization via Multimodal Intelligent Enchancement

52 upvotes · 20 JUL 2026 · Yiyang Cai, Nan Chen, Rongchang Xie et al.

This paper develops a video personalization method that focuses on human-object interactions, aiming to improve the accuracy of video generation by better understanding human-object relationships and incorporating intra-subject references. Practitioners may care about this research as it could lead to more realistic and engaging video content.