LEGO: A Lifting-Free Approach for Exocentric-to-Egocentric Video Generation

arXiv:2610.12442 · cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/suhwan-cho/lego

Terminology

• Diffusion Model — 34× in this paper · explained in 8 episodes
• Diffusion Models — 14× in this paper · explained in 6 episodes
• Alignment — 11× in this paper · explained in 1 episode
• Transformer — 9× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Adaptive Rendering Consistency — 3× in this paper
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Guided attention — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Inverse Problem — 2× in this paper · explained in 2 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• 3D Gaussian Splatting — 1× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Abstention — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Exposure Bias — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Flow Matching — 1× in this paper · explained in 7 episodes
• Gaussian Splatting — 1× in this paper · explained in 4 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Mask Generation — 1× in this paper · explained in 2 episodes
• Optical Flow — 1× in this paper · explained in 2 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• Qwen2.5-VL Technical Report
• Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
• E$^3$C: Video Generation with 3D Environmental Memory and Ego-Exo Human Pose Control
• ViPE: Video Pose Engine for 3D Geometric Perception
• FreqForcing: Autoregressive Long Video Generation via Spectral Self-Anchoring
• Intention-driven Ego-to-Exo Video Generation
• DINOv3
• Towards Accurate Generative Models of Video: A New Metric & Challenges
• Wan: Open and Advanced Large-Scale Video Generative Models

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