2 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
Pair-Free Coarse-to-Real Video Generation via Real-to-Coarse Image Supervision
Gonzalo Gómez-Nogales, Daohan Lu, Peiye Zhuang +2
Coarse-to-real (C2R) video generation converts coarse animation, simulation, or game-rendered videos into photorealistic videos while preserving scene layout, camera motion, and dy…
FastDSAC: Enhancing Policy Plasticity via Constrained Exploration for Scalable Humanoid Locomotion
Guanchen Lu, Yajuan Dun, Yi Zhou +4
Scalable reinforcement learning has popularized high-throughput sampling architectures, which significantly compresses the training time for off-policy methods in robotic locomotio…
RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation
Qi Lan, Yining Tang, Yu Shen +4
Safety-critical traffic scenario generation is essential for evaluating autonomous driving systems under rare but high-risk interactions. Existing diffusion-based methods offer str…
Coarse-to-Real: Generative Rendering for Populated Dynamic Scenes
Gonzalo Gomez-Nogales, Yicong Hong, Chongjian Ge +4
Traditional rendering pipelines rely on complex assets, accurate materials and lighting, and substantial computational resources to produce realistic imagery, yet they still face c…