LipsFlower constrains flow matching to stabilize generative image restoration
LipHDiT uses spectral normalization, bounded modulation and finite-radius gain penalties, tested on blind face restoration.
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LipHDiT uses spectral normalization, bounded modulation and finite-radius gain penalties, tested on blind face restoration.
Trained on one vision task, the searcher reports a 0.91 GenEval score after 896 GPU-days on a billion-parameter Diffusion Transformer.
SeMo3D uses selective modeling to unify 3D tasks with region-selective denoising and Omni3DiT architecture.
A diffusion transformer is grounded on frozen MLLM features, then the model is tuned for sparse prompts and single-factor edits.
A 5B diffusion transformer plus an agentic prompt module reports 96.3% average text coverage; weights are promised for release.
A diffusion transformer jointly edits a source video from variable text, image, and video references, and the authors say it beats commercial models.
GRACE cuts Wan2.1-I2V-14B video tokens 8x and latency 11.1x without losing VBench quality.
LiFT loops a shared Diffusion Transformer and lowers ImageNet FID while cutting parameters and FLOPs.
EMA Lightning is an 8.6M-parameter Apache-2.0 Turkish TTS model reporting 0.92% WER on Freya-TR-Eval.
ProtoFlow forecasts multivariate time series by flow-matching from learned vector-quantization prototypes instead of Gaussian noise.
Video DeltaNet combines softmax and linear attention for video generation, cutting DiT denoising of a 14.3-second 768p video to 6.7 seconds.
Video DeltaNet combines local Softmax attention with linear memory, enabling 14.5x faster 768p video generation on eight NVIDIA B200 GPUs.
LynnReal-Omni unifies controllable video generation tasks in a 32B multimodal diffusion transformer, with a 27B Flash variant rendering 540p clips in 377 ms.
StepAudio 3 Music introduces long-form text-controlled music generation using ABC-notation planning and flow-matching diffusion, ranking near the top music arena.
Researchers introduce UniMate, a topology-aware diffusion transformer generating text-driven motion for arbitrary 3D skeletons without per-skeleton retraining.
UniMate is a topology-aware diffusion transformer generating articulated motion for arbitrary rigged skeletons from text, trained on 13,006 motion sequences.
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