Hy-Nomas generates multi-turn interactive video worlds from text and camera
The 8B diffusion model uses action-aware causal attention and a prompt enhancer; authors release weights, code, and benchmarks.
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The 8B diffusion model uses action-aware causal attention and a prompt enhancer; authors release weights, code, and benchmarks.
CLACT adds multi-view character data, and GAMA injects geometrically aligned features to limit identity drift.
A 5B model matches 22B EchoWM navigation at 81.5 versus 81.6 and switches views 93.8% of the time.
Projected source-view trajectories condition a pretrained video model so unseen regions are filled without retraining the generator.
LoGo combines global and spatially localized rewards to fix 3D inconsistency in camera-controlled long-horizon video generation across three base models.
GenCine lets artists jointly control 3D camera and object motion in video via guidance maps on a Wan model.
LIFT controls future-frame layout in image-to-video generation under large camera viewpoint changes.
GEAR uses geometry to route attention to visual memory for long camera-controlled video generation.
WorldCrafter is a video world model with implicit 3D-aware memory enabling long-horizon consistent scene exploration from a single image or prompt.
WorldCrafter uses implicit 3D-aware memory to keep video world models consistent during long camera moves.
World in World is a training-free inference-time interface enabling camera-controlled rerendering, long-horizon revisiting, and motion transfer with frozen causal video world models.
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