3 papers
cs.AI2026
Scalable Generative Game Engine: Breaking the Resolution Wall via Hardware-Algorithm Co-Design
Wei Zeng, Xuchen Li, Ruili Feng +3
Real-time generative game engines represent a paradigm shift in interactive simulation, promising to replace traditional graphics pipelines with neural world models. However, exist…
cs.GR2025
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
Qingming Liu, Zhen Liu, Dinghuai Zhang +1
Generating high-quality and photorealistic 3D assets remains a longstanding challenge in 3D vision and computer graphics. Although state-of-the-art generative models, such as diffu…
cs.LG2024
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Zhen Liu, Tim Z. Xiao, Weiyang Liu +2
While one commonly trains large diffusion models by collecting datasets on target downstream tasks, it is often desired to align and finetune pretrained diffusion models with some…