…Generative Flow Networks ( GFN s) that perform distribution matching are a promising methods, but they are notorious for training instability and mode collapse . In particular, unstable rewards in red-teaming accelerate mode…
…Furthermore, we explore the optimal network structures on Goku, and propose Goku-Edit. To deeply comprehend complex editing instructions, Goku-Edit leverages an MLLM as its text encoder and adopts a decoupled…
…estimated at 102.51 hours of active gameplay, including high-frequency mouse dynamics, keystroke events, network packet captures, screen recordings, hardware metadata, and in-game configuration context. BEACON leverages the high precision…
…EMMA leverages a Liquid Time-Constant (LTC) network to learn latent dynamics from heterogeneous modalities while a physics-constrained loss enforces consistency with the governing differential equations . A unified feature pipeline enables…
…While state-of-the-art frameworks excel in optimizing local trajectory extraction and stability for single-drone imagery, they often function as isolated data silos that generate disjointed trajectories, thereby precluding network…
…https://compvis.github.io/rayder View arXiv page View PDF Project page GitHub 39 Add to collection Community Self-supervised novel view synthesis methods are fundamentally data-limited: they require static-scene…
…We introduce the Real-time Autoregressive Video Extrapolation Network (RAVEN), a training-time test framework that repacks each self rollout into an interleaved sequence of clean historical endpoints and noisy denoising states…
…Toward this goal, we propose a simple yet effective modification to the Diffusion Transformer architecture, resulting in a scalable network capable of modeling a velocity field while maintaining the desired equivariance. We…
…From this asymmetric prediction, AsymFlow analytically recovers the full-dimensional velocity without changing the network architecture or training/sampling procedures. On ImageNet 256times256, AsymFlow achieves a leading 1.57 FID, outperforming prior…
…View arXiv page View PDF Project page Add to collection Community i think this is a fascinating work, very timely in this field. thank you for your contribution to the community! the…