…However, current publicly available datasets predominantly focus on local editing or style transfer, which largely preserve the original scene structure and are easier to scale. In contrast, Background Replacement , a task central…
…https://ruixu.me/html/SuperGaussians/index.html View arXiv page View PDF Project page GitHub 67 Add to collection Community Today we're releasing SVGS , a new approach for Gaussian Splatting that…
…HakushoBench contains 2,053 images spanning over 10 image types, with manually annotated QA pairs, designed to assess deep and holistic understanding of charts and tables, rather than local visual cues alone…
…Existing benchmarks measure recall over static dialogue, collapse memory into a single end-of-task accuracy, and reduce visual observations to captions, leaving us unable to localize failures to writing, maintenance, retrieval…
…View arXiv page View PDF Project page GitHub 5 Add to collection Community A controlled framework for evaluating whether VLMs know when not to answer spatial questions. This is an automated message…
…View arXiv page View PDF Project page GitHub 11 Add to collection Community Motivation : Fusing multi-timescale signals in RL can trigger optimization pathologies. We identify two specific failure modes in Actor…
…current models handle localized perception reasonably well but struggle significantly with reasoning, simulation, and especially autonomous, cross-corpus analysis. This is an automated message from the Librarian Bot . I found the following…
…This design turns autonomous research from a sequence of local attempts into a cumulative process in which strategy, execution, and evidence are carried across time. We evaluate Arbor under Autonomous Optimization (AO…
…Causal patching localizes the backdoor to the MLP block at mid-to-late layers, with down_proj as the strongest single-projection cause. Replications across scale, family, and rank show the behavioral…
…View arXiv page View PDF Project page GitHub 34 Add to collection Community While Test-Time Scaling (TTS) offers a promising direction to enhance video generation without the surging costs of training…