GenRecon lifts object-level generative priors to scene-scale reconstruction by chunking scenes and using projection-based conditioning on multi-view features, claiming 16% better results than prior methods.
The unreason- able effectiveness of deep features as a perceptual metric
8 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 8representative citing papers
Introduces BIP framework and GapGen generator to allocate and synthesize millions of non-colliding virtual face identities within gaps of the real face manifold.
TACache accelerates rectified flow sampling up to 4.14x for text-to-image and 2.11x for text-to-video via offline skip scheduling from cumulative variation thresholds and online velocity reconstruction using historical orthogonal directions.
DUST decouples pose trajectories per camera source while sharing canonical Gaussians per agent to remove cross-source gradient conflicts and ghosting caused by temporal asynchrony in 4D cooperative driving scenes.
X-Cache achieves 71% block skip rate and 2.6x wall-clock speedup in few-step autoregressive multi-camera driving world models via cross-chunk residual caching with dual-metric gating and forced KV updates.
4D-GSW introduces a kinematic-aware spatio-temporal watermarking framework for 4D Gaussian Splatting that uses a Spatio-Temporal Curvature metric and HMM-MRF model to maintain consistency under attacks.
VDFP uses degradation field modeling based on rolling shutter and continuous prior perception with a flicker-aware loss to deflicker videos while preserving spatial-temporal details via zero-initialized pre-trained priors.
FlashClear delivers up to 122x faster object removal than prior diffusion models via adversarial step distillation and asymmetric attention caching while preserving visual quality.
citing papers explorer
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GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction
GenRecon lifts object-level generative priors to scene-scale reconstruction by chunking scenes and using projection-based conditioning on multi-view features, claiming 16% better results than prior methods.
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Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning
Introduces BIP framework and GapGen generator to allocate and synthesize millions of non-colliding virtual face identities within gaps of the real face manifold.
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Accelerating Rectified Flow Models via Trajectory-Aware Caching
TACache accelerates rectified flow sampling up to 4.14x for text-to-image and 2.11x for text-to-video via offline skip scheduling from cumulative variation thresholds and online velocity reconstruction using historical orthogonal directions.
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One World, Dual Timeline: Decoupled Spatio-Temporal Gaussian Scene Graph for 4D Cooperative Driving Reconstruction
DUST decouples pose trajectories per camera source while sharing canonical Gaussians per agent to remove cross-source gradient conflicts and ghosting caused by temporal asynchrony in 4D cooperative driving scenes.
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X-Cache: Cross-Chunk Block Caching for Few-Step Autoregressive World Models Inference
X-Cache achieves 71% block skip rate and 2.6x wall-clock speedup in few-step autoregressive multi-camera driving world models via cross-chunk residual caching with dual-metric gating and forced KV updates.
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4D-GSW: Kinematic-Aware Spatio-Temporal Consistent Watermarking for 4D Gaussian Splatting
4D-GSW introduces a kinematic-aware spatio-temporal watermarking framework for 4D Gaussian Splatting that uses a Spatio-Temporal Curvature metric and HMM-MRF model to maintain consistency under attacks.
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VDFP: Video Deflickering with Flicker-banding Priors
VDFP uses degradation field modeling based on rolling shutter and continuous prior perception with a flicker-aware loss to deflicker videos while preserving spatial-temporal details via zero-initialized pre-trained priors.
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FlashClear: Ultra-Fast Image Content Removal via Efficient Step Distillation and Feature Caching
FlashClear delivers up to 122x faster object removal than prior diffusion models via adversarial step distillation and asymmetric attention caching while preserving visual quality.