ReLift: Dense 3D Tracking as Lifted Trajectory Repair
Dense 3D tracking from monocular video requires establishing point correspondences over time, estimating their depth,...
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Dense 3D tracking from monocular video requires establishing point correspondences over time, estimating their depth,...
Existing sketch generation methods often rely on image guidance and are largely limited to individual objects or simp...
Edge medical segmentation must reconcile small model size, high accuracy, and fast inference. TernScope addresses thi...
Unified Multimodal Models (UMMs) achieve remarkable success on diverse multimodal understanding and generation tasks,...
Low-light image enhancement (LLIE) aims to recover well-exposed and perceptually faithful images from severely degrad...
Foundation models are becoming remarkably reliable at high-level reasoning, yet they remain too slow and costly to se...
Training acceleration methods for diffusion transformers, such as REPA and dispersive regularization, are commonly ex...
Large language model agents are increasingly used for scientific discovery. However, existing benchmarks mix law infe...
A voice agent's speech recognizer transcribes everyone near the microphone, including people other than the caller. I...
An effective agent memory system should adapt to a user's history and task requirements. Human-annotated supervision ...
Real-world forgery is inherently heterogeneous: it manifests not only as digital manipulation but also as physical sp...
Synthesizing a monocular video from a new camera trajectory requires preserving the observed scene geometry and motio...