FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation | Paper Citation Record

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This paper cites write newline.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation write newline

Reference 1

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This paper cites Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields

Reference 2

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This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Align your latents: High-resolution video synthesis with latent diffusion models

Reference 3

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Observation c990fbd8-7836-4c68-86f9-0fa3e47c4d35 · outbound

This paper cites NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training

Reference 4

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Observation 1825d15d-e90d-4498-a70d-1534570fb955 · outbound

This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffusion models.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Videocrafter2: Overcoming data limitations for high-quality video diffusion models

Reference 5

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Observation c87ce0de-6281-461c-9c3f-7dcf1f98e93a · outbound

This paper cites MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images

Reference 6

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Observation 4d90b587-b603-46ed-9c88-0ac3f5673a54 · outbound

This paper cites Mvsplat360: Feed-forward 360 scene synthesis from sparse views.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Mvsplat360: Feed-forward 360 scene synthesis from sparse views

Reference 7

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Observation 5115e967-07b9-4c6f-866e-b380ea36e66e · outbound

This paper cites V3D: Video Diffusion Models are Effective 3D Generators.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation V3D: Video Diffusion Models are Effective 3D Generators

Reference 8

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Observation 40fd6c6c-992f-49f5-8295-13f974bfae6b · outbound

This paper cites CAT3D: Create Anything in 3D with Multi-View Diffusion Models.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation CAT3D: Create Anything in 3D with Multi-View Diffusion Models

Reference 9

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Observation 9134c3c0-b4c9-4dde-9ade-6938ae702ffa · outbound

This paper cites Kl divergence - intuition and examples, n.d.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Kl divergence - intuition and examples, n.d

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:49:15.295089Z

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Observation 34cc3b44-4443-44b4-9598-580af0b9e22b · outbound

This paper cites Denoising diffusion probabilistic models.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Denoising diffusion probabilistic models

Reference 11

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Observation 362a7ef1-c718-4c32-9e44-bf966aa30687 · outbound

This paper cites Video Diffusion Models.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Video Diffusion Models

Reference 12

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Observation 3b9c82fe-cd21-4020-99e5-d718b81a15a8 · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 13

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Observation 9af784f1-7979-45cf-8e6d-0f0b2daa7b43 · outbound

This paper cites Image quality metrics: Psnr vs.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Image quality metrics: Psnr vs

Reference 14

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Observation fe485326-5bb9-4fff-acaf-be9e969c5023 · outbound

This paper cites Openclip, 2021.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Openclip, 2021

Reference 15

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Observation f91432a2-d029-47d7-a228-04c91db3d28a · outbound

This paper cites Distilling diffusion models into conditional gans.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Distilling diffusion models into conditional gans

Reference 16

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Observation 112879ba-81ec-4eb3-853c-72e4a894b522 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation 3d gaussian splatting for real-time radiance field rendering

Reference 17

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Observation d2464c1b-373e-4108-b78c-54b548f6c43d · outbound

This paper cites Auto-Encoding Variational Bayes.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Auto-Encoding Variational Bayes

Reference 18

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Observation 36338b4d-c602-4f19-9dc8-b219e33eaca9 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 19

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Observation 44528899-6066-4852-b0fc-9eaf75c07512 · outbound

This paper cites EscherNet: A Generative Model for Scalable View Synthesis.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation EscherNet: A Generative Model for Scalable View Synthesis

Reference 20

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Observation 28034142-8fc6-4162-9925-8654de2e2477 · outbound

This paper cites Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text

Reference 21

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Observation 9020a6c9-732b-42b0-88bb-b3d10f0c4c35 · outbound

This paper cites Magic3d: High-resolution text-to-3d content creation.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Magic3d: High-resolution text-to-3d content creation

Reference 22

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Observation 4771ef14-03da-4cf0-af5d-444790d99eea · outbound

This paper cites SDXL-Lightning: Progressive Adversarial Diffusion Distillation.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 23

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Observation fcefb644-0fa3-4793-99d2-3b97c52ab71a · outbound

This paper cites Diffusion adversarial post-training for one-step video generation.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Diffusion adversarial post-training for one-step video generation

Reference 24

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Observation 2e76425f-7ce7-488b-a8e6-04880587212f · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:49:14.441589Z

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Observation b4221563-b261-40e3-9289-ef3846ea0c38 · outbound

This paper cites ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T22:49:09.030302Z

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Observation 5dd42d51-3fd1-49e4-981e-61bd92f10e6e · outbound

This paper cites Decoupled Weight Decay Regularization.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Decoupled Weight Decay Regularization

Reference 27

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Observation 9b525dd2-39f4-4673-b845-b3691588f03e · outbound

This paper cites You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:49:12.183502Z

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Observation 9621af03-93fb-4040-a57b-8203c0e0b9f9 · outbound

This paper cites On distillation of guided diffusion models.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation On distillation of guided diffusion models

Reference 29

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Observation 9050d949-7e8e-4bef-8da3-415a2b4f3745 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Srinivasan, Matthew Tancik, Jonathan T

Reference 30

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Observation 52c1c967-7f6f-4ded-898c-48d0bc2e82c3 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation DreamFusion: Text-to-3D using 2D Diffusion

Reference 31

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Observation 984b2c94-9153-4819-981f-48f363ec7744 · outbound

This paper cites Accelerating 3D Deep Learning with PyTorch3D.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Accelerating 3D Deep Learning with PyTorch3D

Reference 32

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Observation d819efd4-686c-4ce2-9ac4-35b466bc53f7 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation High-resolution image synthesis with latent diffusion models

Reference 33

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Observation b2ade30f-0f88-42bf-9280-6186c0c49e46 · outbound

This paper cites Fast high-resolution image synthesis with latent adversarial diffusion distillation.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Fast high-resolution image synthesis with latent adversarial diffusion distillation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:49:14.304849Z

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Observation 3fd67629-299f-4626-85a3-d7f674babdcc · outbound

This paper cites Adversarial diffusion distillation.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Adversarial diffusion distillation

Reference 35

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Observation d210bf99-3f08-4b37-ade0-b28739ceff61 · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation MVDream: Multi-view Diffusion for 3D Generation

Reference 36

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Observation f21b1e7d-34c5-433b-bed7-463c21dec722 · outbound

This paper cites Denoising Diffusion Implicit Models.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Denoising Diffusion Implicit Models

Reference 37

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Observation d4b1df96-e702-4b18-8eca-7de0f637809b · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 38

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Observation dea1bd94-878c-4924-a780-67966acbaed9 · outbound

This paper cites Sv3d: Novel multi-view synthesis and 3d generation from a single image using latent video diffusion.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Sv3d: Novel multi-view synthesis and 3d generation from a single image using latent video diffusion

Reference 39

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Observation 3e702aaa-6af6-4380-8d94-54a841a632f2 · outbound

This paper cites Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:49:13.845494Z

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Observation e450a08c-d171-457e-b2b4-d2f664789f15 · outbound

This paper cites Dust3r: Geometric 3d vision made easy.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Dust3r: Geometric 3d vision made easy

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:49:13.714394Z

Source-reported events for the cited work

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Observation 3e53c32a-950b-4d1a-a45b-45813df9ae94 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Image quality assessment: from error visibility to structural similarity

Reference 42

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Observation ef22e519-3257-449b-9841-6968c029e8e5 · outbound

This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation

Reference 43

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Observation f33cb5a5-9b30-4fa4-9eec-2bf03209d88b · outbound

This paper cites Reconfusion: 3d reconstruction with diffusion priors.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Reconfusion: 3d reconstruction with diffusion priors

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:49:13.535001Z

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Observation 038c588e-087d-414e-9eef-f18d10840b66 · outbound

This paper cites Dynamicrafter: Animating open-domain images with video diffusion priors.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Dynamicrafter: Animating open-domain images with video diffusion priors

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:49:13.399267Z

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Observation 801c5dbc-ed47-45b3-a707-815f059ce3f5 · outbound

This paper cites DepthSplat: Connecting Gaussian Splatting and Depth.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation DepthSplat: Connecting Gaussian Splatting and Depth

Reference 46

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Observation f42e8b8c-8e8a-4ddc-b523-6109ce1cf359 · outbound

This paper cites Ufogen: You forward once large scale text-to-image generation via diffusion gans.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Ufogen: You forward once large scale text-to-image generation via diffusion gans

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:49:13.267398Z

Source-reported events for the cited work

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Observation 8ac66e41-98c1-478c-b674-5d3a22adcb68 · outbound

This paper cites One-step Diffusion Models with $f$-Divergence Distribution Matching.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation One-step Diffusion Models with $f$-Divergence Distribution Matching

Reference 48

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Observation b048ffd7-175c-46c9-bd69-64f5c3512e67 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T22:49:11.244100Z

Source-reported events for the cited work

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Observation 0e2870f5-c1a6-4df3-827b-b26cf1860d0b · outbound

This paper cites One-step diffusion with distribution matching distillation.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation One-step diffusion with distribution matching distillation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:49:13.085892Z

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Observation 44416154-6084-4c99-a049-c63cc2fbd271 · outbound

This paper cites From slow bidirectional to fast causal video generators.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation From slow bidirectional to fast causal video generators

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T22:49:11.420456Z

Source-reported events for the cited work

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Observation 472279d9-335d-416f-8c4d-03a42993937f · outbound

This paper cites Improved distribution matching distillation for fast image synthesis.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation Improved distribution matching distillation for fast image synthesis

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:49:12.973388Z

Source-reported events for the cited work

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Observation 8ccd2140-1f12-4612-b949-f26d13692c8e · outbound

This paper cites ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T22:49:11.559444Z

Source-reported events for the cited work

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Observation 51f58868-6807-47fe-9d63-ac9292158439 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation The unreasonable effectiveness of deep features as a perceptual metric

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:49:12.797551Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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