World Observer: Joint Actor-Observer Generation for Persistent World Modeling
Paper • 2610.02162 • Published • 80
Dohyun Kim
dohyun-k
·
AI & ML interests
Video generation, video diffusion models, temporal consistency, motion modeling
Recent Activity
upvoted a paper about 1 hour ago
World Observer: Joint Actor-Observer Generation for Persistent World Modeling upvoted a paper about 1 hour ago
4Director: Controlling Video World Models with Rigid 3D Geometry upvoted a paper about 1 hour ago
Predictive Credit: Measuring What Scientific Explanations Add to Experimental ForecastsOrganizations
None yet
upvoted 3
papers about 1 hour ago
upvoted 5
papers 1 day ago
RoboCoach: World Models as Active Coaches for Compositional Robot Skills
Paper • 2609.39685 • Published • 15
Physis-Lang: Self-Evolving Language as a Physical Representation for Video World Model
Paper • 2609.40358 • Published • 19
ViRDM: Taming Representation Distribution Matching for Few-Step Causal Video Generation
Paper • 2609.28923 • Published • 11
EVOKE: Eliciting World Knowledge in Agents for Transferable Decision-Making
Paper • 2609.38334 • Published • 79
BiasReducer: Adaptive Bias Mitigation for Reward Models
Paper • 2609.32720 • Published • 25
liked a
model 2 days ago
upvoted 5
papers 2 days ago
CompoWorld: Compositional Environment Scaling for General Agents
Paper • 2609.33665 • Published • 42
Agent-Editing World Model: Rethinking World Modeling for LLM Agents
Paper • 2609.28416 • Published • 43
Training Object Permanence in World Models
Paper • 2609.28654 • Published • 243
Precise Editing and Flexible Referencing for Interactable Worlds
Paper • 2609.34470 • Published • 20
Think Before You Score: Thinking Reward Model for Visual Generation
Paper • 2609.37372 • Published • 101
liked 2
models 3 days ago
upvoted a paper 3 days ago
liked 3
datasets 4 days ago