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…Current research is fragmented, with studies varying significantly across datasets, modality configurations, and experimental settings. Furthermore, existing benchmarks focus predominantly on action recognition , often neglecting critical real-world challenges such as input…
…D image and a language instruction within one unified diffusion process. This 4D world model features a tri-branch architecture that integrates cross-modal attention with frame-wise 3D RoPE , ensuring that…
…An Advanced World Action Model for Robot Control (2026) Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising (2026) OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for…
…This is an automated message from the Librarian Bot . I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API MergeTok: Unified Continuous and…
…Beyond generation, PRA achieves higher ImageNet classification probing accuracy than other AR and diffusion baselines, suggesting its potential for unified pixel-space image generation and understanding. This is an automated message from…
…To address these limitations, we propose a token-centric dual-view learning framework that unifies prompt-based adaptation and cross-view fusion within a frozen vision transformer backbone. The framework reformulates inter…
…with their corresponding regions within visual conditions . To address this, we leverage the Vision-Language Model (VLM) to establish instance-level correspondences between text prompts and visual conditions . Specifically, the VLM automatically…
…Unifying Controlled Character Animation with End-to-end In-Context Conditioning (2026) Directing the World: Fast Autoregressive Video Generation with Compositional Human-Camera Control (2026) Please give a thumbs up to this…
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