「generation」の検索結果
37 件Science experiment videos demonstrate how experiments are performed, but offer no direct interaction for learn
Scaling computer-use agents from individual actions to complex software work requires experience that connects
Real-time long-video generation requires continuous output with consistent appearance and natural motion. Exis
Decision models target structured tasks by directly predicting choices or scores, avoiding autoregressive deco
Unlike autoregressive (AR) models, diffusion language models (DLMs) permit parallel token updates, flexible ge
Retrieval-augmented generation (RAG) lets a large language model (LLM) answer questions by retrieving relevant
Unified Multimodal Models (UMMs) achieve remarkable success on diverse multimodal understanding and generation
Existing sketch generation methods often rely on image guidance and are largely limited to individual objects
Video generation is shifting from end-to-end synthesis toward agentic generation, where planning, tool use, an
Predicting future physical states stands as a central challenge in embodied intelligence. Existing video world
Recent advances in video world models have enabled the generation of increasingly realistic and interactive vi
Vision-Language-Action (VLA) models have demonstrated promising capabilities in robotic manipulation by integr
To succeed in real-world long-horizon software development, coding agents must satisfy multi-dimensional task
An effective agent memory system should adapt to a user's history and task requirements. Human-annotated super
Training acceleration methods for diffusion transformers, such as REPA and dispersive regularization, are comm
Interactive world models generate visual content conditioned on user actions, yet maintaining spatial consiste
One-step and few-step text-to-image generation must accurately render the details specified in the prompt desp
Foundation models are typically trained in stages: pretraining, midtraining, supervised fine-tuning (SFT), and
Retrieval-augmented generation commonly serves separate models for reranking and answering, duplicating model
We present PhysInsert, a framework for physically plausible reference-based object insertion that jointly adap
Autoregressive (AR) image generators are powerful in principle but inflexible in practice: training with a fix
Music audio generation spans instrumental clips, full songs with vocals, edits of existing recordings, and sys
Recursive self-improvement requires models not only to acquire useful training experience, but also to decide
Humans routinely consume multimodal content, where textual and visual information is naturally interleaved. Al
Unified conditional image generation requires a single model to preserve different aspects of a visual input w
Web agents require diverse, executable, and resettable website environments for reproducible training and eval
Visual generation requires both high-level semantic knowledge and fine-grained pixel details. We propose a lea
Direct-policy World Action Models (WAM) have demonstrated the benefits of decoupling action generation from ex
Generating videos of a specific subject from a few reference images remains challenging when the camera reveal
As frontier language models grow increasingly capable and autonomous, independent third-party evaluations are
Low-light image enhancement (LLIE) aims to recover well-exposed and perceptually faithful images from severely
Reinforcement learning (RL) is an effective way to strengthen the long-context reasoning of large language mod
Realistic market impact is essential for generative limit order book (LOB) models to serve as world models for
Synthesizing a monocular video from a new camera trajectory requires preserving the observed scene geometry an
Spoken Dialogue Models (SDMs) typically share a speech-token space for generation and synthesis, leading to lo
Despite their extensive pretraining knowledge and strong reasoning capabilities, large language models (LLMs)
We introduce SIMIT, a test-time self-improvement framework in which a vision-language model creates its own qu