Nimrod Daniel

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upvoted a paper 4 days ago

Wonder: Video World Model Done Better

Paper • 2607.26037 • Published 7 days ago • 19

upvoted a paper 20 days ago

Video Generation Models are General-Purpose Vision Learners

Paper • 2607.09024 • Published 25 days ago • 86

upvoted 2 papers 2 months ago

LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding

Paper • 2605.27365 • Published May 26 • 146

Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models

Paper • 2605.21573 • Published May 20 • 111

upvoted 5 papers 4 months ago

Neural Computers

Paper • 2604.06425 • Published Apr 7 • 32

FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling

Paper • 2604.06916 • Published Apr 8 • 34

INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling

Paper • 2604.07209 • Published Apr 8 • 38

CARLA-Air: Fly Drones Inside a CARLA World -- A Unified Infrastructure for Air-Ground Embodied Intelligence

Paper • 2603.28032 • Published Mar 30 • 344

WildWorld: A Large-Scale Dataset for Dynamic World Modeling with Actions and Explicit State toward Generative ARPG

Paper • 2603.23497 • Published Mar 24 • 92

upvoted 4 papers 5 months ago

ID-LoRA: Identity-Driven Audio-Video Personalization with In-Context LoRA

Paper • 2603.10256 • Published Mar 10 • 25

Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model

Paper • 2603.05438 • Published Mar 5 • 41

WildActor: Unconstrained Identity-Preserving Video Generation

Paper • 2603.00586 • Published Feb 28 • 38

Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders

Paper • 2603.06569 • Published Mar 6 • 120